Pandas Profiling Report

Dataset statistics

Number of variables	89
Number of observations	62
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	43.2 KiB
Average record size in memory	714.1 B

Variable types

Numeric	24
Categorical	65

Warnings

`Stabr` has constant value "NY"	Constant
`area_name` has a high cardinality: 62 distinct values	High cardinality
`Civilian_labor_force_2000` has a high cardinality: 62 distinct values	High cardinality
`Employed_2000` has a high cardinality: 62 distinct values	High cardinality
`Unemployed_2000` has a high cardinality: 62 distinct values	High cardinality
`Civilian_labor_force_2001` has a high cardinality: 62 distinct values	High cardinality
`Employed_2001` has a high cardinality: 62 distinct values	High cardinality
`Unemployed_2001` has a high cardinality: 62 distinct values	High cardinality
`Civilian_labor_force_2002` has a high cardinality: 62 distinct values	High cardinality
`Employed_2002` has a high cardinality: 62 distinct values	High cardinality
`Unemployed_2002` has a high cardinality: 60 distinct values	High cardinality
`Civilian_labor_force_2003` has a high cardinality: 62 distinct values	High cardinality
`Employed_2003` has a high cardinality: 62 distinct values	High cardinality
`Unemployed_2003` has a high cardinality: 62 distinct values	High cardinality
`Civilian_labor_force_2004` has a high cardinality: 62 distinct values	High cardinality
`Employed_2004` has a high cardinality: 62 distinct values	High cardinality
`Unemployed_2004` has a high cardinality: 61 distinct values	High cardinality
`Civilian_labor_force_2005` has a high cardinality: 62 distinct values	High cardinality
`Employed_2005` has a high cardinality: 62 distinct values	High cardinality
`Unemployed_2005` has a high cardinality: 62 distinct values	High cardinality
`Civilian_labor_force_2006` has a high cardinality: 62 distinct values	High cardinality
`Employed_2006` has a high cardinality: 62 distinct values	High cardinality
`Unemployed_2006` has a high cardinality: 62 distinct values	High cardinality
`Civilian_labor_force_2007` has a high cardinality: 62 distinct values	High cardinality
`Employed_2007` has a high cardinality: 62 distinct values	High cardinality
`Unemployed_2007` has a high cardinality: 62 distinct values	High cardinality
`Civilian_labor_force_2008` has a high cardinality: 62 distinct values	High cardinality
`Employed_2008` has a high cardinality: 62 distinct values	High cardinality
`Unemployed_2008` has a high cardinality: 61 distinct values	High cardinality
`Civilian_labor_force_2009` has a high cardinality: 62 distinct values	High cardinality
`Employed_2009` has a high cardinality: 62 distinct values	High cardinality
`Unemployed_2009` has a high cardinality: 62 distinct values	High cardinality
`Civilian_labor_force_2010` has a high cardinality: 62 distinct values	High cardinality
`Employed_2010` has a high cardinality: 62 distinct values	High cardinality
`Unemployed_2010` has a high cardinality: 62 distinct values	High cardinality
`Civilian_labor_force_2011` has a high cardinality: 62 distinct values	High cardinality
`Employed_2011` has a high cardinality: 62 distinct values	High cardinality
`Unemployed_2011` has a high cardinality: 62 distinct values	High cardinality
`Civilian_labor_force_2012` has a high cardinality: 62 distinct values	High cardinality
`Employed_2012` has a high cardinality: 62 distinct values	High cardinality
`Unemployed_2012` has a high cardinality: 62 distinct values	High cardinality
`Civilian_labor_force_2013` has a high cardinality: 62 distinct values	High cardinality
`Employed_2013` has a high cardinality: 62 distinct values	High cardinality
`Unemployed_2013` has a high cardinality: 62 distinct values	High cardinality
`Civilian_labor_force_2014` has a high cardinality: 62 distinct values	High cardinality
`Employed_2014` has a high cardinality: 62 distinct values	High cardinality
`Unemployed_2014` has a high cardinality: 62 distinct values	High cardinality
`Civilian_labor_force_2015` has a high cardinality: 62 distinct values	High cardinality
`Employed_2015` has a high cardinality: 62 distinct values	High cardinality
`Unemployed_2015` has a high cardinality: 62 distinct values	High cardinality
`Civilian_labor_force_2016` has a high cardinality: 62 distinct values	High cardinality
`Employed_2016` has a high cardinality: 61 distinct values	High cardinality
`Unemployed_2016` has a high cardinality: 62 distinct values	High cardinality
`Civilian_labor_force_2017` has a high cardinality: 62 distinct values	High cardinality
`Employed_2017` has a high cardinality: 62 distinct values	High cardinality
`Unemployed_2017` has a high cardinality: 62 distinct values	High cardinality
`Civilian_labor_force_2018` has a high cardinality: 62 distinct values	High cardinality
`Employed_2018` has a high cardinality: 62 distinct values	High cardinality
`Unemployed_2018` has a high cardinality: 62 distinct values	High cardinality
`Civilian_labor_force_2019` has a high cardinality: 62 distinct values	High cardinality
`Employed_2019` has a high cardinality: 62 distinct values	High cardinality
`Unemployed_2019` has a high cardinality: 61 distinct values	High cardinality
`Median_Household_Income_2018` has a high cardinality: 62 distinct values	High cardinality
`df_index` is highly correlated with `FIPStxt`	High correlation
`FIPStxt` is highly correlated with `df_index`	High correlation
`Rural_urban_continuum_code_2013` is highly correlated with `Urban_influence_code_2013`	High correlation
`Urban_influence_code_2013` is highly correlated with `Rural_urban_continuum_code_2013`	High correlation
`Unemployment_rate_2000` is highly correlated with `Unemployment_rate_2001`	High correlation
`Unemployment_rate_2001` is highly correlated with `Unemployment_rate_2000` and 4 other fields	High correlation
`Unemployment_rate_2002` is highly correlated with `Unemployment_rate_2001` and 2 other fields	High correlation
`Unemployment_rate_2003` is highly correlated with `Unemployment_rate_2001` and 2 other fields	High correlation
`Unemployment_rate_2004` is highly correlated with `Unemployment_rate_2001` and 3 other fields	High correlation
`Unemployment_rate_2005` is highly correlated with `Unemployment_rate_2001` and 5 other fields	High correlation
`Unemployment_rate_2006` is highly correlated with `Unemployment_rate_2005` and 6 other fields	High correlation
`Unemployment_rate_2007` is highly correlated with `Unemployment_rate_2005` and 3 other fields	High correlation
`Unemployment_rate_2008` is highly correlated with `Unemployment_rate_2006` and 1 other fields	High correlation
`Unemployment_rate_2009` is highly correlated with `Unemployment_rate_2006` and 2 other fields	High correlation
`Unemployment_rate_2010` is highly correlated with `Unemployment_rate_2006` and 5 other fields	High correlation
`Unemployment_rate_2011` is highly correlated with `Unemployment_rate_2006` and 4 other fields	High correlation
`Unemployment_rate_2012` is highly correlated with `Unemployment_rate_2010` and 3 other fields	High correlation
`Unemployment_rate_2013` is highly correlated with `Unemployment_rate_2005` and 4 other fields	High correlation
`Unemployment_rate_2014` is highly correlated with `Unemployment_rate_2005` and 5 other fields	High correlation
`Unemployment_rate_2015` is highly correlated with `Unemployment_rate_2016`	High correlation
`Unemployment_rate_2016` is highly correlated with `Unemployment_rate_2015` and 3 other fields	High correlation
`Unemployment_rate_2017` is highly correlated with `Unemployment_rate_2016` and 2 other fields	High correlation
`Unemployment_rate_2018` is highly correlated with `Unemployment_rate_2016` and 2 other fields	High correlation
`Unemployment_rate_2019` is highly correlated with `Unemployment_rate_2016` and 2 other fields	High correlation
`Employed_2001` is highly correlated with `Civilian_labor_force_2007` and 63 other fields	High correlation
`Civilian_labor_force_2007` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Civilian_labor_force_2014` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Civilian_labor_force_2009` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Employed_2004` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Unemployed_2005` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Civilian_labor_force_2002` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Unemployed_2015` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Employed_2007` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Civilian_labor_force_2012` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Employed_2014` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Employed_2011` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Unemployed_2014` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Unemployed_2009` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Civilian_labor_force_2006` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Unemployed_2013` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Unemployed_2011` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Unemployed_2001` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Civilian_labor_force_2003` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Employed_2008` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Employed_2012` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Civilian_labor_force_2018` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Employed_2000` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Employed_2010` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Employed_2019` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Civilian_labor_force_2005` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Civilian_labor_force_2000` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Unemployed_2007` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Civilian_labor_force_2017` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Employed_2005` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Civilian_labor_force_2013` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Unemployed_2002` is highly correlated with `Employed_2001` and 57 other fields	High correlation
`Civilian_labor_force_2016` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Unemployed_2018` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Employed_2003` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Civilian_labor_force_2008` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Employed_2009` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Unemployed_2010` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Employed_2006` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Unemployed_2012` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Employed_2016` is highly correlated with `Employed_2001` and 57 other fields	High correlation
`Employed_2015` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Unemployed_2017` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Unemployment_rate_2015` is highly correlated with `Employed_2001` and 57 other fields	High correlation
`Employed_2018` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Civilian_labor_force_2019` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Civilian_labor_force_2010` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Civilian_labor_force_2015` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Employed_2017` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Unemployed_2016` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Unemployed_2003` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Employed_2013` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Median_Household_Income_2018` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Civilian_labor_force_2004` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Metro_2013` is highly correlated with `Employed_2001` and 57 other fields	High correlation
`Civilian_labor_force_2011` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Unemployed_2004` is highly correlated with `Employed_2001` and 57 other fields	High correlation
`area_name` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Unemployed_2008` is highly correlated with `Employed_2001` and 57 other fields	High correlation
`Unemployed_2019` is highly correlated with `Employed_2001` and 57 other fields	High correlation
`Civilian_labor_force_2001` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Unemployed_2000` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Stabr` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Employed_2002` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`Unemployed_2006` is highly correlated with `Employed_2001` and 63 other fields	High correlation
`df_index` is uniformly distributed	Uniform
`FIPStxt` is uniformly distributed	Uniform
`area_name` is uniformly distributed	Uniform
`Civilian_labor_force_2000` is uniformly distributed	Uniform
`Employed_2000` is uniformly distributed	Uniform
`Unemployed_2000` is uniformly distributed	Uniform
`Civilian_labor_force_2001` is uniformly distributed	Uniform
`Employed_2001` is uniformly distributed	Uniform
`Unemployed_2001` is uniformly distributed	Uniform
`Civilian_labor_force_2002` is uniformly distributed	Uniform
`Employed_2002` is uniformly distributed	Uniform
`Unemployed_2002` is uniformly distributed	Uniform
`Civilian_labor_force_2003` is uniformly distributed	Uniform
`Employed_2003` is uniformly distributed	Uniform
`Unemployed_2003` is uniformly distributed	Uniform
`Civilian_labor_force_2004` is uniformly distributed	Uniform
`Employed_2004` is uniformly distributed	Uniform
`Unemployed_2004` is uniformly distributed	Uniform
`Civilian_labor_force_2005` is uniformly distributed	Uniform
`Employed_2005` is uniformly distributed	Uniform
`Unemployed_2005` is uniformly distributed	Uniform
`Civilian_labor_force_2006` is uniformly distributed	Uniform
`Employed_2006` is uniformly distributed	Uniform
`Unemployed_2006` is uniformly distributed	Uniform
`Civilian_labor_force_2007` is uniformly distributed	Uniform
`Employed_2007` is uniformly distributed	Uniform
`Unemployed_2007` is uniformly distributed	Uniform
`Civilian_labor_force_2008` is uniformly distributed	Uniform
`Employed_2008` is uniformly distributed	Uniform
`Unemployed_2008` is uniformly distributed	Uniform
`Civilian_labor_force_2009` is uniformly distributed	Uniform
`Employed_2009` is uniformly distributed	Uniform
`Unemployed_2009` is uniformly distributed	Uniform
`Civilian_labor_force_2010` is uniformly distributed	Uniform
`Employed_2010` is uniformly distributed	Uniform
`Unemployed_2010` is uniformly distributed	Uniform
`Civilian_labor_force_2011` is uniformly distributed	Uniform
`Employed_2011` is uniformly distributed	Uniform
`Unemployed_2011` is uniformly distributed	Uniform
`Civilian_labor_force_2012` is uniformly distributed	Uniform
`Employed_2012` is uniformly distributed	Uniform
`Unemployed_2012` is uniformly distributed	Uniform
`Civilian_labor_force_2013` is uniformly distributed	Uniform
`Employed_2013` is uniformly distributed	Uniform
`Unemployed_2013` is uniformly distributed	Uniform
`Civilian_labor_force_2014` is uniformly distributed	Uniform
`Employed_2014` is uniformly distributed	Uniform
`Unemployed_2014` is uniformly distributed	Uniform
`Civilian_labor_force_2015` is uniformly distributed	Uniform
`Employed_2015` is uniformly distributed	Uniform
`Unemployed_2015` is uniformly distributed	Uniform
`Civilian_labor_force_2016` is uniformly distributed	Uniform
`Employed_2016` is uniformly distributed	Uniform
`Unemployed_2016` is uniformly distributed	Uniform
`Civilian_labor_force_2017` is uniformly distributed	Uniform
`Employed_2017` is uniformly distributed	Uniform
`Unemployed_2017` is uniformly distributed	Uniform
`Civilian_labor_force_2018` is uniformly distributed	Uniform
`Employed_2018` is uniformly distributed	Uniform
`Unemployed_2018` is uniformly distributed	Uniform
`Civilian_labor_force_2019` is uniformly distributed	Uniform
`Employed_2019` is uniformly distributed	Uniform
`Unemployed_2019` is uniformly distributed	Uniform
`Median_Household_Income_2018` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`FIPStxt` has unique values	Unique
`area_name` has unique values	Unique
`Civilian_labor_force_2000` has unique values	Unique
`Employed_2000` has unique values	Unique
`Unemployed_2000` has unique values	Unique
`Civilian_labor_force_2001` has unique values	Unique
`Employed_2001` has unique values	Unique
`Unemployed_2001` has unique values	Unique
`Civilian_labor_force_2002` has unique values	Unique
`Employed_2002` has unique values	Unique
`Civilian_labor_force_2003` has unique values	Unique
`Employed_2003` has unique values	Unique
`Unemployed_2003` has unique values	Unique
`Civilian_labor_force_2004` has unique values	Unique
`Employed_2004` has unique values	Unique
`Civilian_labor_force_2005` has unique values	Unique
`Employed_2005` has unique values	Unique
`Unemployed_2005` has unique values	Unique
`Civilian_labor_force_2006` has unique values	Unique
`Employed_2006` has unique values	Unique
`Unemployed_2006` has unique values	Unique
`Civilian_labor_force_2007` has unique values	Unique
`Employed_2007` has unique values	Unique
`Unemployed_2007` has unique values	Unique
`Civilian_labor_force_2008` has unique values	Unique
`Employed_2008` has unique values	Unique
`Civilian_labor_force_2009` has unique values	Unique
`Employed_2009` has unique values	Unique
`Unemployed_2009` has unique values	Unique
`Civilian_labor_force_2010` has unique values	Unique
`Employed_2010` has unique values	Unique
`Unemployed_2010` has unique values	Unique
`Civilian_labor_force_2011` has unique values	Unique
`Employed_2011` has unique values	Unique
`Unemployed_2011` has unique values	Unique
`Civilian_labor_force_2012` has unique values	Unique
`Employed_2012` has unique values	Unique
`Unemployed_2012` has unique values	Unique
`Civilian_labor_force_2013` has unique values	Unique
`Employed_2013` has unique values	Unique
`Unemployed_2013` has unique values	Unique
`Civilian_labor_force_2014` has unique values	Unique
`Employed_2014` has unique values	Unique
`Unemployed_2014` has unique values	Unique
`Civilian_labor_force_2015` has unique values	Unique
`Employed_2015` has unique values	Unique
`Unemployed_2015` has unique values	Unique
`Civilian_labor_force_2016` has unique values	Unique
`Unemployed_2016` has unique values	Unique
`Civilian_labor_force_2017` has unique values	Unique
`Employed_2017` has unique values	Unique
`Unemployed_2017` has unique values	Unique
`Civilian_labor_force_2018` has unique values	Unique
`Employed_2018` has unique values	Unique
`Unemployed_2018` has unique values	Unique
`Civilian_labor_force_2019` has unique values	Unique
`Employed_2019` has unique values	Unique
`Median_Household_Income_2018` has unique values	Unique

Reproduction

Analysis started	2021-01-15 02:54:54.851811
Analysis finished	2021-01-15 02:59:11.233314
Duration	4 minutes and 16.38 seconds
Software version	pandas-profiling v2.10.0
Download configuration	config.yaml

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1894.5
Minimum	1864
Maximum	1925
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	1864
5-th percentile	1867.05
Q1	1879.25
median	1894.5
Q3	1909.75
95-th percentile	1921.95
Maximum	1925
Range	61
Interquartile range (IQR)	30.5

Descriptive statistics

Standard deviation	18.04161855
Coefficient of variation (CV)	0.009523155742
Kurtosis	-1.2
Mean	1894.5
Median Absolute Deviation (MAD)	15.5
Skewness	0
Sum	117459
Variance	325.5
Monotocity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1919	1	1.6%
1873	1	1.6%
1886	1	1.6%
1885	1	1.6%
1884	1	1.6%
1883	1	1.6%
1882	1	1.6%
1881	1	1.6%
1880	1	1.6%
1879	1	1.6%
Other values (52)	52	83.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1864	1	1.6%
1865	1	1.6%
1866	1	1.6%
1867	1	1.6%
1868	1	1.6%

Value	Count	Frequency (%)
1925	1	1.6%
1924	1	1.6%
1923	1	1.6%
1922	1	1.6%
1921	1	1.6%

FIPStxt
Real number (ℝ_≥0)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	36062
Minimum	36001
Maximum	36123
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	36001
5-th percentile	36007.1
Q1	36031.5
median	36062
Q3	36092.5
95-th percentile	36116.9
Maximum	36123
Range	122
Interquartile range (IQR)	61

Descriptive statistics

Standard deviation	36.08323711
Coefficient of variation (CV)	0.001000588905
Kurtosis	-1.2
Mean	36062
Median Absolute Deviation (MAD)	31
Skewness	0
Sum	2235844
Variance	1302
Monotocity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
36095	1	1.6%
36003	1	1.6%
36029	1	1.6%
36027	1	1.6%
36025	1	1.6%
36023	1	1.6%
36021	1	1.6%
36019	1	1.6%
36017	1	1.6%
36015	1	1.6%
Other values (52)	52	83.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
36001	1	1.6%
36003	1	1.6%
36005	1	1.6%
36007	1	1.6%
36009	1	1.6%

Value	Count	Frequency (%)
36123	1	1.6%
36121	1	1.6%
36119	1	1.6%
36117	1	1.6%
36115	1	1.6%

Stabr
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

NY	62

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	124
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NY
2nd row	NY
3rd row	NY
4th row	NY
5th row	NY

Value	Count	Frequency (%)
NY	62	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
ny	62	100.0%

Most occurring characters

Value	Count	Frequency (%)
N	62	50.0%
Y	62	50.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	124	100.0%

Most frequent character per category

Value	Count	Frequency (%)
N	62	50.0%
Y	62	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	124	100.0%

Most frequent character per script

Value	Count	Frequency (%)
N	62	50.0%
Y	62	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	124	100.0%

Most frequent character per block

Value	Count	Frequency (%)
N	62	50.0%
Y	62	50.0%

area_name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

Putnam County, NY	1
Rensselaer County, NY	1
Delaware County, NY	1
Oswego County, NY	1
Bronx County, NY	1
Other values (57)	57

Length

Max length	23
Median length	18
Mean length	18.32258065
Min length	15

Characters and Unicode

Total characters	1136
Distinct characters	49
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	Albany County, NY
2nd row	Allegany County, NY
3rd row	Bronx County, NY
4th row	Broome County, NY
5th row	Cattaraugus County, NY

Value	Count	Frequency (%)
Putnam County, NY	1	1.6%
Rensselaer County, NY	1	1.6%
Delaware County, NY	1	1.6%
Oswego County, NY	1	1.6%
Bronx County, NY	1	1.6%
Saratoga County, NY	1	1.6%
Westchester County, NY	1	1.6%
New York County, NY	1	1.6%
Tompkins County, NY	1	1.6%
Nassau County, NY	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
county	62	33.0%
ny	62	33.0%
wyoming	1	0.5%
kings	1	0.5%
cortland	1	0.5%
niagara	1	0.5%
ulster	1	0.5%
schoharie	1	0.5%
seneca	1	0.5%
rockland	1	0.5%
Other values (56)	56	29.8%

Most occurring characters

Value	Count	Frequency (%)
	126	11.1%
n	106	9.3%
o	92	8.1%
t	84	7.4%
u	79	7.0%
y	70	6.2%
C	70	6.2%
N	65	5.7%
Y	64	5.6%
,	62	5.5%
Other values (39)	318	28.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	697	61.4%
Uppercase Letter	250	22.0%
Space Separator	126	11.1%
Other Punctuation	63	5.5%

Most frequent character per category

Value	Count	Frequency (%)
n	106	15.2%
o	92	13.2%
t	84	12.1%
u	79	11.3%
y	70	10.0%
e	51	7.3%
a	45	6.5%
r	27	3.9%
s	25	3.6%
i	21	3.0%
Other values (14)	97	13.9%

Value	Count	Frequency (%)
C	70	28.0%
N	65	26.0%
Y	64	25.6%
S	9	3.6%
O	7	2.8%
W	5	2.0%
L	3	1.2%
M	3	1.2%
R	3	1.2%
A	2	0.8%
Other values (12)	19	7.6%

Value	Count	Frequency (%)
,	62	98.4%
.	1	1.6%

Value	Count	Frequency (%)
	126	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	947	83.4%
Common	189	16.6%

Most frequent character per script

Value	Count	Frequency (%)
n	106	11.2%
o	92	9.7%
t	84	8.9%
u	79	8.3%
y	70	7.4%
C	70	7.4%
N	65	6.9%
Y	64	6.8%
e	51	5.4%
a	45	4.8%
Other values (36)	221	23.3%

Value	Count	Frequency (%)
	126	66.7%
,	62	32.8%
.	1	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1136	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	126	11.1%
n	106	9.3%
o	92	8.1%
t	84	7.4%
u	79	7.0%
y	70	6.2%
C	70	6.2%
N	65	5.7%
Y	64	5.6%
,	62	5.5%
Other values (39)	318	28.0%

Rural_urban_continuum_code_2013
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	8
Distinct (%)	12.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.064516129
Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	4
95-th percentile	6.95
Maximum	8
Range	7
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.063507818
Coefficient of variation (CV)	0.6733551828
Kurtosis	-0.777290409
Mean	3.064516129
Median Absolute Deviation (MAD)	1
Skewness	0.6857869227
Sum	190
Variance	4.258064516
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
1	20	32.3%
2	12	19.4%
4	10	16.1%
6	9	14.5%
3	6	9.7%
7	3	4.8%
8	1	1.6%
5	1	1.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	20	32.3%
2	12	19.4%
3	6	9.7%
4	10	16.1%
5	1	1.6%

Value	Count	Frequency (%)
8	1	1.6%
7	3	4.8%
6	9	14.5%
5	1	1.6%
4	10	16.1%

Urban_influence_code_2013
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	9
Distinct (%)	14.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.967741935
Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	4.75
95-th percentile	7.95
Maximum	9
Range	8
Interquartile range (IQR)	3.75

Descriptive statistics

Standard deviation	2.24680277
Coefficient of variation (CV)	0.7570748463
Kurtosis	0.113538064
Mean	2.967741935
Median Absolute Deviation (MAD)	1
Skewness	1.116869787
Sum	184
Variance	5.048122686
Monotocity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	20	32.3%
2	18	29.0%
3	6	9.7%
6	5	8.1%
5	5	8.1%
8	3	4.8%
4	2	3.2%
7	2	3.2%
9	1	1.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	20	32.3%
2	18	29.0%
3	6	9.7%
4	2	3.2%
5	5	8.1%

Value	Count	Frequency (%)
9	1	1.6%
8	3	4.8%
7	2	3.2%
6	5	8.1%
5	5	8.1%

Metro_2013
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

1.0	38
0.0	24

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	186
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	1.0
5th row	0.0

Value	Count	Frequency (%)
1.0	38	61.3%
0.0	24	38.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
1.0	38	61.3%
0.0	24	38.7%

Most occurring characters

Value	Count	Frequency (%)
0	86	46.2%
.	62	33.3%
1	38	20.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	124	66.7%
Other Punctuation	62	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	86	69.4%
1	38	30.6%

Value	Count	Frequency (%)
.	62	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	186	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	86	46.2%
.	62	33.3%
1	38	20.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	186	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	86	46.2%
.	62	33.3%
1	38	20.4%

Civilian_labor_force_2000
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

58,432	1
109,413	1
31,544	1
42,544	1
80,419	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.322580645
Min length	5

Characters and Unicode

Total characters	392
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	153,997
2nd row	22,659
3rd row	486,621
4th row	97,734
5th row	40,867

Value	Count	Frequency (%)
58,432	1	1.6%
109,413	1	1.6%
31,544	1	1.6%
42,544	1	1.6%
80,419	1	1.6%
31,344	1	1.6%
47,811	1	1.6%
54,309	1	1.6%
110,407	1	1.6%
26,398	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
58,432	1	1.6%
109,413	1	1.6%
31,544	1	1.6%
42,544	1	1.6%
80,419	1	1.6%
31,344	1	1.6%
47,811	1	1.6%
54,309	1	1.6%
110,407	1	1.6%
26,398	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.3%
2	55	14.0%
4	44	11.2%
1	41	10.5%
3	39	9.9%
7	27	6.9%
8	27	6.9%
5	24	6.1%
9	24	6.1%
0	24	6.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	328	83.7%
Other Punctuation	64	16.3%

Most frequent character per category

Value	Count	Frequency (%)
2	55	16.8%
4	44	13.4%
1	41	12.5%
3	39	11.9%
7	27	8.2%
8	27	8.2%
5	24	7.3%
9	24	7.3%
0	24	7.3%
6	23	7.0%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	392	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.3%
2	55	14.0%
4	44	11.2%
1	41	10.5%
3	39	9.9%
7	27	6.9%
8	27	6.9%
5	24	6.1%
9	24	6.1%
0	24	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	392	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.3%
2	55	14.0%
4	44	11.2%
1	41	10.5%
3	39	9.9%
7	27	6.9%
8	27	6.9%
5	24	6.1%
9	24	6.1%
0	24	6.1%

Employed_2000
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

21,544	1
69,694	1
23,390	1
25,482	1
40,695	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.290322581
Min length	5

Characters and Unicode

Total characters	390
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	148,813
2nd row	21,544
3rd row	452,036
4th row	94,155
5th row	39,002

Value	Count	Frequency (%)
21,544	1	1.6%
69,694	1	1.6%
23,390	1	1.6%
25,482	1	1.6%
40,695	1	1.6%
15,659	1	1.6%
812,237	1	1.6%
17,554	1	1.6%
104,250	1	1.6%
706,167	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
21,544	1	1.6%
69,694	1	1.6%
23,390	1	1.6%
25,482	1	1.6%
40,695	1	1.6%
15,659	1	1.6%
812,237	1	1.6%
17,554	1	1.6%
104,250	1	1.6%
706,167	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	63	16.2%
1	46	11.8%
2	44	11.3%
4	37	9.5%
3	35	9.0%
5	35	9.0%
9	32	8.2%
6	30	7.7%
8	29	7.4%
0	25	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	327	83.8%
Other Punctuation	63	16.2%

Most frequent character per category

Value	Count	Frequency (%)
1	46	14.1%
2	44	13.5%
4	37	11.3%
3	35	10.7%
5	35	10.7%
9	32	9.8%
6	30	9.2%
8	29	8.9%
0	25	7.6%
7	14	4.3%

Value	Count	Frequency (%)
,	63	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	390	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	63	16.2%
1	46	11.8%
2	44	11.3%
4	37	9.5%
3	35	9.0%
5	35	9.0%
9	32	8.2%
6	30	7.7%
8	29	7.4%
0	25	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	390	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	63	16.2%
1	46	11.8%
2	44	11.3%
4	37	9.5%
3	35	9.0%
5	35	9.0%
9	32	8.2%
6	30	7.7%
8	29	7.4%
0	25	6.4%

Unemployed_2000
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

983	1
4,318	1
947	1
962	1
8,125	1
Other values (57)	57

Length

Max length	6
Median length	5
Mean length	4.774193548
Min length	3

Characters and Unicode

Total characters	296
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	5,184
2nd row	1,115
3rd row	34,585
4th row	3,579
5th row	1,865

Value	Count	Frequency (%)
983	1	1.6%
4,318	1	1.6%
947	1	1.6%
962	1	1.6%
8,125	1	1.6%
5,184	1	1.6%
1,261	1	1.6%
19,682	1	1.6%
1,864	1	1.6%
888	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
983	1	1.6%
4,318	1	1.6%
947	1	1.6%
962	1	1.6%
8,125	1	1.6%
5,184	1	1.6%
1,261	1	1.6%
19,682	1	1.6%
1,864	1	1.6%
888	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
1	54	18.2%
,	50	16.9%
5	29	9.8%
2	29	9.8%
8	25	8.4%
4	22	7.4%
6	21	7.1%
3	20	6.8%
9	19	6.4%
7	15	5.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	246	83.1%
Other Punctuation	50	16.9%

Most frequent character per category

Value	Count	Frequency (%)
1	54	22.0%
5	29	11.8%
2	29	11.8%
8	25	10.2%
4	22	8.9%
6	21	8.5%
3	20	8.1%
9	19	7.7%
7	15	6.1%
0	12	4.9%

Value	Count	Frequency (%)
,	50	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	296	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	54	18.2%
,	50	16.9%
5	29	9.8%
2	29	9.8%
8	25	8.4%
4	22	7.4%
6	21	7.1%
3	20	6.8%
9	19	6.4%
7	15	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	296	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	54	18.2%
,	50	16.9%
5	29	9.8%
2	29	9.8%
8	25	8.4%
4	22	7.4%
6	21	7.1%
3	20	6.8%
9	19	6.4%
7	15	5.1%

Unemployment_rate_2000
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	29
Distinct (%)	46.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.267741935
Minimum	2.9
Maximum	7.1
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	2.9
5-th percentile	3.3
Q1	3.6
median	4.2
Q3	4.7
95-th percentile	5.795
Maximum	7.1
Range	4.2
Interquartile range (IQR)	1.1

Descriptive statistics

Standard deviation	0.8305191332
Coefficient of variation (CV)	0.1946038785
Kurtosis	1.287373498
Mean	4.267741935
Median Absolute Deviation (MAD)	0.6
Skewness	1.015691681
Sum	264.6
Variance	0.6897620307
Monotocity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
3.5	5	8.1%
4.8	4	6.5%
4.2	4	6.5%
4.3	4	6.5%
4.7	4	6.5%
3.6	4	6.5%
3.3	4	6.5%
4.1	3	4.8%
3.7	3	4.8%
3.9	3	4.8%
Other values (19)	24	38.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.9	1	1.6%
3.2	1	1.6%
3.3	4	6.5%
3.4	3	4.8%
3.5	5	8.1%

Value	Count	Frequency (%)
7.1	1	1.6%
6.3	1	1.6%
5.9	1	1.6%
5.8	1	1.6%
5.7	1	1.6%

Civilian_labor_force_2001
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

140,038	1
463,716	1
1,040,426	1
22,490	1
12,025	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.322580645
Min length	5

Characters and Unicode

Total characters	392
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	154,732
2nd row	22,998
3rd row	488,643
4th row	98,088
5th row	41,021

Value	Count	Frequency (%)
140,038	1	1.6%
463,716	1	1.6%
1,040,426	1	1.6%
22,490	1	1.6%
12,025	1	1.6%
1,063,736	1	1.6%
163,868	1	1.6%
80,796	1	1.6%
108,470	1	1.6%
26,264	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
140,038	1	1.6%
463,716	1	1.6%
1,040,426	1	1.6%
22,490	1	1.6%
12,025	1	1.6%
1,063,736	1	1.6%
163,868	1	1.6%
80,796	1	1.6%
108,470	1	1.6%
26,264	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.3%
2	44	11.2%
3	40	10.2%
1	38	9.7%
4	38	9.7%
6	37	9.4%
8	34	8.7%
0	32	8.2%
5	24	6.1%
7	21	5.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	328	83.7%
Other Punctuation	64	16.3%

Most frequent character per category

Value	Count	Frequency (%)
2	44	13.4%
3	40	12.2%
1	38	11.6%
4	38	11.6%
6	37	11.3%
8	34	10.4%
0	32	9.8%
5	24	7.3%
7	21	6.4%
9	20	6.1%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	392	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.3%
2	44	11.2%
3	40	10.2%
1	38	9.7%
4	38	9.7%
6	37	9.4%
8	34	8.7%
0	32	8.2%
5	24	6.1%
7	21	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	392	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.3%
2	44	11.2%
3	40	10.2%
1	38	9.7%
4	38	9.7%
6	37	9.4%
8	34	8.7%
0	32	8.2%
5	24	6.1%
7	21	5.4%

Employed_2001
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

77,726	1
50,839	1
31,262	1
446,213	1
30,034	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.290322581
Min length	5

Characters and Unicode

Total characters	390
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	149,564
2nd row	21,908
3rd row	453,138
4th row	93,925
5th row	38,959

Value	Count	Frequency (%)
77,726	1	1.6%
50,839	1	1.6%
31,262	1	1.6%
446,213	1	1.6%
30,034	1	1.6%
11,732	1	1.6%
37,042	1	1.6%
31,809	1	1.6%
453,138	1	1.6%
45,938	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
77,726	1	1.6%
50,839	1	1.6%
31,262	1	1.6%
446,213	1	1.6%
30,034	1	1.6%
11,732	1	1.6%
37,042	1	1.6%
31,809	1	1.6%
453,138	1	1.6%
45,938	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	63	16.2%
2	46	11.8%
1	40	10.3%
3	38	9.7%
4	35	9.0%
9	31	7.9%
5	31	7.9%
8	31	7.9%
7	30	7.7%
0	29	7.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	327	83.8%
Other Punctuation	63	16.2%

Most frequent character per category

Value	Count	Frequency (%)
2	46	14.1%
1	40	12.2%
3	38	11.6%
4	35	10.7%
9	31	9.5%
5	31	9.5%
8	31	9.5%
7	30	9.2%
0	29	8.9%
6	16	4.9%

Value	Count	Frequency (%)
,	63	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	390	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	63	16.2%
2	46	11.8%
1	40	10.3%
3	38	9.7%
4	35	9.0%
9	31	7.9%
5	31	7.9%
8	31	7.9%
7	30	7.7%
0	29	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	390	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	63	16.2%
2	46	11.8%
1	40	10.3%
3	38	9.7%
4	35	9.0%
9	31	7.9%
5	31	7.9%
8	31	7.9%
7	30	7.7%
0	29	7.4%

Unemployed_2001
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

706	1
1,023	1
647	1
1,725	1
1,391	1
Other values (57)	57

Length

Max length	6
Median length	5
Mean length	4.870967742
Min length	3

Characters and Unicode

Total characters	302
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	5,168
2nd row	1,090
3rd row	35,505
4th row	4,163
5th row	2,062

Value	Count	Frequency (%)
706	1	1.6%
1,023	1	1.6%
647	1	1.6%
1,725	1	1.6%
1,391	1	1.6%
1,016	1	1.6%
1,177	1	1.6%
1,577	1	1.6%
17,503	1	1.6%
3,341	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
706	1	1.6%
1,023	1	1.6%
647	1	1.6%
1,725	1	1.6%
1,391	1	1.6%
1,016	1	1.6%
1,177	1	1.6%
1,577	1	1.6%
17,503	1	1.6%
3,341	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
1	54	17.9%
,	53	17.5%
0	26	8.6%
3	26	8.6%
2	26	8.6%
5	22	7.3%
4	20	6.6%
7	20	6.6%
9	19	6.3%
6	18	6.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	249	82.5%
Other Punctuation	53	17.5%

Most frequent character per category

Value	Count	Frequency (%)
1	54	21.7%
0	26	10.4%
3	26	10.4%
2	26	10.4%
5	22	8.8%
4	20	8.0%
7	20	8.0%
9	19	7.6%
6	18	7.2%
8	18	7.2%

Value	Count	Frequency (%)
,	53	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	302	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	54	17.9%
,	53	17.5%
0	26	8.6%
3	26	8.6%
2	26	8.6%
5	22	7.3%
4	20	6.6%
7	20	6.6%
9	19	6.3%
6	18	6.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	302	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	54	17.9%
,	53	17.5%
0	26	8.6%
3	26	8.6%
2	26	8.6%
5	22	7.3%
4	20	6.6%
7	20	6.6%
9	19	6.3%
6	18	6.0%

Unemployment_rate_2001
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	27
Distinct (%)	43.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.530645161
Minimum	3.2
Maximum	7.3
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	3.2
5-th percentile	3.4
Q1	4
median	4.5
Q3	4.9
95-th percentile	6.1
Maximum	7.3
Range	4.1
Interquartile range (IQR)	0.9

Descriptive statistics

Standard deviation	0.847482039
Coefficient of variation (CV)	0.1870554874
Kurtosis	1.022941098
Mean	4.530645161
Median Absolute Deviation (MAD)	0.5
Skewness	0.894283508
Sum	280.9
Variance	0.7182258065
Monotocity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
4.5	8	12.9%
3.8	5	8.1%
4.1	3	4.8%
4.2	3	4.8%
3.4	3	4.8%
4.3	3	4.8%
4.7	3	4.8%
4	3	4.8%
4.9	3	4.8%
4.6	3	4.8%
Other values (17)	25	40.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3.2	1	1.6%
3.3	2	3.2%
3.4	3	4.8%
3.5	2	3.2%
3.7	2	3.2%

Value	Count	Frequency (%)
7.3	1	1.6%
6.4	1	1.6%
6.3	1	1.6%
6.1	2	3.2%
6	1	1.6%

Civilian_labor_force_2002
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

115,221	1
49,830	1
52,573	1
45,880	1
82,208	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.322580645
Min length	5

Characters and Unicode

Total characters	392
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	157,694
2nd row	23,449
3rd row	496,904
4th row	98,781
5th row	41,755

Value	Count	Frequency (%)
115,221	1	1.6%
49,830	1	1.6%
52,573	1	1.6%
45,880	1	1.6%
82,208	1	1.6%
17,066	1	1.6%
471,246	1	1.6%
18,782	1	1.6%
47,105	1	1.6%
42,269	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
115,221	1	1.6%
49,830	1	1.6%
52,573	1	1.6%
45,880	1	1.6%
82,208	1	1.6%
17,066	1	1.6%
471,246	1	1.6%
18,782	1	1.6%
47,105	1	1.6%
42,269	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.3%
1	46	11.7%
2	45	11.5%
4	34	8.7%
3	34	8.7%
0	31	7.9%
5	29	7.4%
9	29	7.4%
6	28	7.1%
7	26	6.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	328	83.7%
Other Punctuation	64	16.3%

Most frequent character per category

Value	Count	Frequency (%)
1	46	14.0%
2	45	13.7%
4	34	10.4%
3	34	10.4%
0	31	9.5%
5	29	8.8%
9	29	8.8%
6	28	8.5%
7	26	7.9%
8	26	7.9%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	392	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.3%
1	46	11.7%
2	45	11.5%
4	34	8.7%
3	34	8.7%
0	31	7.9%
5	29	7.4%
9	29	7.4%
6	28	7.1%
7	26	6.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	392	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.3%
1	46	11.7%
2	45	11.5%
4	34	8.7%
3	34	8.7%
0	31	7.9%
5	29	7.4%
9	29	7.4%
6	28	7.1%
7	26	6.6%

Employed_2002
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

23,259	1
31,361	1
718,973	1
11,975	1
17,820	1
Other values (57)	57

Length

Max length	7
Median length	6
Mean length	6.258064516
Min length	5

Characters and Unicode

Total characters	388
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	151,536
2nd row	22,192
3rd row	448,504
4th row	93,088
5th row	39,427

Value	Count	Frequency (%)
23,259	1	1.6%
31,361	1	1.6%
718,973	1	1.6%
11,975	1	1.6%
17,820	1	1.6%
105,157	1	1.6%
51,696	1	1.6%
86,817	1	1.6%
21,978	1	1.6%
29,826	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
23,259	1	1.6%
31,361	1	1.6%
718,973	1	1.6%
11,975	1	1.6%
17,820	1	1.6%
105,157	1	1.6%
51,696	1	1.6%
86,817	1	1.6%
21,978	1	1.6%
29,826	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	62	16.0%
2	44	11.3%
1	39	10.1%
5	35	9.0%
0	35	9.0%
3	31	8.0%
4	31	8.0%
9	28	7.2%
8	28	7.2%
7	28	7.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	326	84.0%
Other Punctuation	62	16.0%

Most frequent character per category

Value	Count	Frequency (%)
2	44	13.5%
1	39	12.0%
5	35	10.7%
0	35	10.7%
3	31	9.5%
4	31	9.5%
9	28	8.6%
8	28	8.6%
7	28	8.6%
6	27	8.3%

Value	Count	Frequency (%)
,	62	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	388	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	62	16.0%
2	44	11.3%
1	39	10.1%
5	35	9.0%
0	35	9.0%
3	31	8.0%
4	31	8.0%
9	28	7.2%
8	28	7.2%
7	28	7.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	388	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	62	16.0%
2	44	11.3%
1	39	10.1%
5	35	9.0%
0	35	9.0%
3	31	8.0%
4	31	8.0%
9	28	7.2%
8	28	7.2%
7	28	7.2%

Unemployed_2002
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct	60
Distinct (%)	96.8%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

1,330	2
1,455	2
3,973	1
3,268	1
2,108	1
Other values (55)	55

Length

Max length	6
Median length	5
Mean length	4.951612903
Min length	3

Characters and Unicode

Total characters	307
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	58 ?
Unique (%)	93.5%

Sample

1st row	6,158
2nd row	1,257
3rd row	48,400
4th row	5,693
5th row	2,328

Value	Count	Frequency (%)
1,330	2	3.2%
1,455	2	3.2%
3,973	1	1.6%
3,268	1	1.6%
2,108	1	1.6%
75,875	1	1.6%
5,693	1	1.6%
6,384	1	1.6%
1,347	1	1.6%
1,457	1	1.6%
Other values (50)	50	80.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
1,330	2	3.2%
1,455	2	3.2%
3,973	1	1.6%
3,268	1	1.6%
2,108	1	1.6%
75,875	1	1.6%
5,693	1	1.6%
6,384	1	1.6%
1,347	1	1.6%
1,457	1	1.6%
Other values (50)	50	80.6%

Most occurring characters

Value	Count	Frequency (%)
,	55	17.9%
1	39	12.7%
3	33	10.7%
2	26	8.5%
7	25	8.1%
0	25	8.1%
6	24	7.8%
5	24	7.8%
9	21	6.8%
8	20	6.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	252	82.1%
Other Punctuation	55	17.9%

Most frequent character per category

Value	Count	Frequency (%)
1	39	15.5%
3	33	13.1%
2	26	10.3%
7	25	9.9%
0	25	9.9%
6	24	9.5%
5	24	9.5%
9	21	8.3%
8	20	7.9%
4	15	6.0%

Value	Count	Frequency (%)
,	55	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	307	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	55	17.9%
1	39	12.7%
3	33	10.7%
2	26	8.5%
7	25	8.1%
0	25	8.1%
6	24	7.8%
5	24	7.8%
9	21	6.8%
8	20	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	307	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	55	17.9%
1	39	12.7%
3	33	10.7%
2	26	8.5%
7	25	8.1%
0	25	8.1%
6	24	7.8%
5	24	7.8%
9	21	6.8%
8	20	6.5%

Unemployment_rate_2002
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	33
Distinct (%)	53.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.453225806
Minimum	3.8
Maximum	9.7
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	3.8
5-th percentile	4.005
Q1	4.7
median	5.3
Q3	5.975
95-th percentile	7.1
Maximum	9.7
Range	5.9
Interquartile range (IQR)	1.275

Descriptive statistics

Standard deviation	1.121286986
Coefficient of variation (CV)	0.2056190274
Kurtosis	2.762060408
Mean	5.453225806
Median Absolute Deviation (MAD)	0.65
Skewness	1.303055644
Sum	338.1
Variance	1.257284506
Monotocity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
5.3	5	8.1%
4.9	4	6.5%
4.6	3	4.8%
5.4	3	4.8%
5.7	3	4.8%
5.5	3	4.8%
5.6	2	3.2%
6.3	2	3.2%
4.3	2	3.2%
4.7	2	3.2%
Other values (23)	33	53.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3.8	1	1.6%
3.9	2	3.2%
4	1	1.6%
4.1	1	1.6%
4.2	2	3.2%

Value	Count	Frequency (%)
9.7	1	1.6%
8.6	1	1.6%
7.6	1	1.6%
7.1	2	3.2%
6.9	2	3.2%

Civilian_labor_force_2003
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

12,435	1
91,397	1
231,168	1
54,374	1
15,464	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.322580645
Min length	5

Characters and Unicode

Total characters	392
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	157,860
2nd row	23,399
3rd row	497,689
4th row	96,722
5th row	42,157

Value	Count	Frequency (%)
12,435	1	1.6%
91,397	1	1.6%
231,168	1	1.6%
54,374	1	1.6%
15,464	1	1.6%
59,880	1	1.6%
21,091	1	1.6%
472,045	1	1.6%
23,399	1	1.6%
148,401	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
12,435	1	1.6%
91,397	1	1.6%
231,168	1	1.6%
54,374	1	1.6%
15,464	1	1.6%
59,880	1	1.6%
21,091	1	1.6%
472,045	1	1.6%
23,399	1	1.6%
148,401	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.3%
1	50	12.8%
3	42	10.7%
2	38	9.7%
4	35	8.9%
7	31	7.9%
9	31	7.9%
8	28	7.1%
5	26	6.6%
6	24	6.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	328	83.7%
Other Punctuation	64	16.3%

Most frequent character per category

Value	Count	Frequency (%)
1	50	15.2%
3	42	12.8%
2	38	11.6%
4	35	10.7%
7	31	9.5%
9	31	9.5%
8	28	8.5%
5	26	7.9%
6	24	7.3%
0	23	7.0%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	392	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.3%
1	50	12.8%
3	42	10.7%
2	38	9.7%
4	35	8.9%
7	31	7.9%
9	31	7.9%
8	28	7.1%
5	26	6.6%
6	24	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	392	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.3%
1	50	12.8%
3	42	10.7%
2	38	9.7%
4	35	8.9%
7	31	7.9%
9	31	7.9%
8	28	7.1%
5	26	6.6%
6	24	6.1%

Employed_2003
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

21,909	1
19,821	1
55,518	1
24,842	1
450,950	1
Other values (57)	57

Length

Max length	7
Median length	6
Mean length	6.258064516
Min length	5

Characters and Unicode

Total characters	388
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	151,200
2nd row	21,881
3rd row	444,901
4th row	91,138
5th row	39,725

Value	Count	Frequency (%)
21,909	1	1.6%
19,821	1	1.6%
55,518	1	1.6%
24,842	1	1.6%
450,950	1	1.6%
22,476	1	1.6%
104,703	1	1.6%
32,729	1	1.6%
12,270	1	1.6%
11,639	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
21,909	1	1.6%
19,821	1	1.6%
55,518	1	1.6%
24,842	1	1.6%
450,950	1	1.6%
22,476	1	1.6%
104,703	1	1.6%
32,729	1	1.6%
12,270	1	1.6%
11,639	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	62	16.0%
2	49	12.6%
1	42	10.8%
9	38	9.8%
5	36	9.3%
4	33	8.5%
0	30	7.7%
3	30	7.7%
7	26	6.7%
8	24	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	326	84.0%
Other Punctuation	62	16.0%

Most frequent character per category

Value	Count	Frequency (%)
2	49	15.0%
1	42	12.9%
9	38	11.7%
5	36	11.0%
4	33	10.1%
0	30	9.2%
3	30	9.2%
7	26	8.0%
8	24	7.4%
6	18	5.5%

Value	Count	Frequency (%)
,	62	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	388	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	62	16.0%
2	49	12.6%
1	42	10.8%
9	38	9.8%
5	36	9.3%
4	33	8.5%
0	30	7.7%
3	30	7.7%
7	26	6.7%
8	24	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	388	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	62	16.0%
2	49	12.6%
1	42	10.8%
9	38	9.8%
5	36	9.3%
4	33	8.5%
0	30	7.7%
3	30	7.7%
7	26	6.7%
8	24	6.2%

Unemployed_2003
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

1,377	1
1,774	1
2,840	1
3,453	1
36,295	1
Other values (57)	57

Length

Max length	6
Median length	5
Mean length	4.951612903
Min length	3

Characters and Unicode

Total characters	307
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	6,660
2nd row	1,518
3rd row	52,788
4th row	5,584
5th row	2,432

Value	Count	Frequency (%)
1,377	1	1.6%
1,774	1	1.6%
2,840	1	1.6%
3,453	1	1.6%
36,295	1	1.6%
8,061	1	1.6%
3,826	1	1.6%
1,424	1	1.6%
11,682	1	1.6%
52,788	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
1,377	1	1.6%
1,774	1	1.6%
2,840	1	1.6%
3,453	1	1.6%
36,295	1	1.6%
8,061	1	1.6%
3,826	1	1.6%
1,424	1	1.6%
11,682	1	1.6%
52,788	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	55	17.9%
1	42	13.7%
6	28	9.1%
2	28	9.1%
8	26	8.5%
3	25	8.1%
9	23	7.5%
4	21	6.8%
0	20	6.5%
5	20	6.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	252	82.1%
Other Punctuation	55	17.9%

Most frequent character per category

Value	Count	Frequency (%)
1	42	16.7%
6	28	11.1%
2	28	11.1%
8	26	10.3%
3	25	9.9%
9	23	9.1%
4	21	8.3%
0	20	7.9%
5	20	7.9%
7	19	7.5%

Value	Count	Frequency (%)
,	55	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	307	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	55	17.9%
1	42	13.7%
6	28	9.1%
2	28	9.1%
8	26	8.5%
3	25	8.1%
9	23	7.5%
4	21	6.8%
0	20	6.5%
5	20	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	307	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	55	17.9%
1	42	13.7%
6	28	9.1%
2	28	9.1%
8	26	8.5%
3	25	8.1%
9	23	7.5%
4	21	6.8%
0	20	6.5%
5	20	6.5%

Unemployment_rate_2003
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	30
Distinct (%)	48.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.683870968
Minimum	3.9
Maximum	10.6
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	3.9
5-th percentile	4.105
Q1	4.8
median	5.5
Q3	6.4
95-th percentile	7.495
Maximum	10.6
Range	6.7
Interquartile range (IQR)	1.6

Descriptive statistics

Standard deviation	1.223833476
Coefficient of variation (CV)	0.2153168998
Kurtosis	3.564403845
Mean	5.683870968
Median Absolute Deviation (MAD)	0.75
Skewness	1.403816151
Sum	352.4
Variance	1.497768377
Monotocity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
6.4	4	6.5%
5.8	4	6.5%
4.5	4	6.5%
4.8	4	6.5%
5.7	4	6.5%
5.2	4	6.5%
5.4	3	4.8%
5.5	3	4.8%
4.6	3	4.8%
5.1	3	4.8%
Other values (20)	26	41.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3.9	2	3.2%
4	1	1.6%
4.1	1	1.6%
4.2	1	1.6%
4.3	1	1.6%

Value	Count	Frequency (%)
10.6	1	1.6%
9.1	1	1.6%
7.5	2	3.2%
7.4	1	1.6%
7.3	2	3.2%

Civilian_labor_force_2004
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

49,052	1
768,946	1
24,075	1
19,858	1
91,379	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.322580645
Min length	5

Characters and Unicode

Total characters	392
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	158,668
2nd row	23,578
3rd row	502,064
4th row	96,283
5th row	42,270

Value	Count	Frequency (%)
49,052	1	1.6%
768,946	1	1.6%
24,075	1	1.6%
19,858	1	1.6%
91,379	1	1.6%
26,140	1	1.6%
55,319	1	1.6%
55,564	1	1.6%
17,221	1	1.6%
13,057	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
49,052	1	1.6%
768,946	1	1.6%
24,075	1	1.6%
19,858	1	1.6%
91,379	1	1.6%
26,140	1	1.6%
55,319	1	1.6%
55,564	1	1.6%
17,221	1	1.6%
13,057	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.3%
1	44	11.2%
3	37	9.4%
2	35	8.9%
5	34	8.7%
4	33	8.4%
0	32	8.2%
6	31	7.9%
9	29	7.4%
8	28	7.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	328	83.7%
Other Punctuation	64	16.3%

Most frequent character per category

Value	Count	Frequency (%)
1	44	13.4%
3	37	11.3%
2	35	10.7%
5	34	10.4%
4	33	10.1%
0	32	9.8%
6	31	9.5%
9	29	8.8%
8	28	8.5%
7	25	7.6%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	392	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.3%
1	44	11.2%
3	37	9.4%
2	35	8.9%
5	34	8.7%
4	33	8.4%
0	32	8.2%
6	31	7.9%
9	29	7.4%
8	28	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	392	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.3%
1	44	11.2%
3	37	9.4%
2	35	8.9%
5	34	8.7%
4	33	8.4%
0	32	8.2%
6	31	7.9%
9	29	7.4%
8	28	7.1%

Employed_2004
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

31,231	1
211,569	1
45,843	1
33,714	1
653,640	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.290322581
Min length	5

Characters and Unicode

Total characters	390
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	152,045
2nd row	22,071
3rd row	455,837
4th row	91,075
5th row	39,740

Value	Count	Frequency (%)
31,231	1	1.6%
211,569	1	1.6%
45,843	1	1.6%
33,714	1	1.6%
653,640	1	1.6%
143,168	1	1.6%
30,529	1	1.6%
22,770	1	1.6%
104,703	1	1.6%
30,848	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
31,231	1	1.6%
211,569	1	1.6%
45,843	1	1.6%
33,714	1	1.6%
653,640	1	1.6%
143,168	1	1.6%
30,529	1	1.6%
22,770	1	1.6%
104,703	1	1.6%
30,848	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	63	16.2%
1	45	11.5%
2	39	10.0%
7	36	9.2%
4	35	9.0%
3	35	9.0%
5	33	8.5%
0	30	7.7%
9	27	6.9%
8	24	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	327	83.8%
Other Punctuation	63	16.2%

Most frequent character per category

Value	Count	Frequency (%)
1	45	13.8%
2	39	11.9%
7	36	11.0%
4	35	10.7%
3	35	10.7%
5	33	10.1%
0	30	9.2%
9	27	8.3%
8	24	7.3%
6	23	7.0%

Value	Count	Frequency (%)
,	63	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	390	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	63	16.2%
1	45	11.5%
2	39	10.0%
7	36	9.2%
4	35	9.0%
3	35	9.0%
5	33	8.5%
0	30	7.7%
9	27	6.9%
8	24	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	390	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	63	16.2%
1	45	11.5%
2	39	10.0%
7	36	9.2%
4	35	9.0%
3	35	9.0%
5	33	8.5%
0	30	7.7%
9	27	6.9%
8	24	6.2%

Unemployed_2004
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct	61
Distinct (%)	98.4%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

1,507	2
14,514	1
822	1
1,524	1
1,435	1
Other values (56)	56

Length

Max length	6
Median length	5
Mean length	4.983870968
Min length	3

Characters and Unicode

Total characters	309
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	60 ?
Unique (%)	96.8%

Sample

1st row	6,623
2nd row	1,507
3rd row	46,227
4th row	5,208
5th row	2,530

Value	Count	Frequency (%)
1,507	2	3.2%
14,514	1	1.6%
822	1	1.6%
1,524	1	1.6%
1,435	1	1.6%
6,171	1	1.6%
1,835	1	1.6%
5,722	1	1.6%
1,446	1	1.6%
856	1	1.6%
Other values (51)	51	82.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
1,507	2	3.2%
14,514	1	1.6%
822	1	1.6%
1,524	1	1.6%
1,435	1	1.6%
6,171	1	1.6%
1,835	1	1.6%
5,722	1	1.6%
1,446	1	1.6%
856	1	1.6%
Other values (51)	51	82.3%

Most occurring characters

Value	Count	Frequency (%)
,	56	18.1%
1	42	13.6%
3	34	11.0%
2	33	10.7%
8	24	7.8%
6	23	7.4%
5	23	7.4%
7	22	7.1%
4	22	7.1%
0	20	6.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	253	81.9%
Other Punctuation	56	18.1%

Most frequent character per category

Value	Count	Frequency (%)
1	42	16.6%
3	34	13.4%
2	33	13.0%
8	24	9.5%
6	23	9.1%
5	23	9.1%
7	22	8.7%
4	22	8.7%
0	20	7.9%
9	10	4.0%

Value	Count	Frequency (%)
,	56	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	309	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	56	18.1%
1	42	13.6%
3	34	11.0%
2	33	10.7%
8	24	7.8%
6	23	7.4%
5	23	7.4%
7	22	7.1%
4	22	7.1%
0	20	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	309	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	56	18.1%
1	42	13.6%
3	34	11.0%
2	33	10.7%
8	24	7.8%
6	23	7.4%
5	23	7.4%
7	22	7.1%
4	22	7.1%
0	20	6.5%

Unemployment_rate_2004
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	27
Distinct (%)	43.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.496774194
Minimum	3.9
Maximum	9.2
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	3.9
5-th percentile	4.2
Q1	4.75
median	5.5
Q3	6.15
95-th percentile	6.9
Maximum	9.2
Range	5.3
Interquartile range (IQR)	1.4

Descriptive statistics

Standard deviation	0.9601857303
Coefficient of variation (CV)	0.1746816763
Kurtosis	2.373165295
Mean	5.496774194
Median Absolute Deviation (MAD)	0.7
Skewness	0.9594317075
Sum	340.8
Variance	0.9219566367
Monotocity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
5.5	7	11.3%
4.5	4	6.5%
5.2	4	6.5%
6.4	4	6.5%
6.2	4	6.5%
6	3	4.8%
5.6	3	4.8%
4.4	3	4.8%
4.9	3	4.8%
4.7	3	4.8%
Other values (17)	24	38.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3.9	1	1.6%
4	2	3.2%
4.2	2	3.2%
4.4	3	4.8%
4.5	4	6.5%

Value	Count	Frequency (%)
9.2	1	1.6%
7.6	1	1.6%
7	1	1.6%
6.9	2	3.2%
6.5	2	3.2%

Civilian_labor_force_2005
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

42,123	1
32,873	1
40,595	1
902,717	1
75,405	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.322580645
Min length	5

Characters and Unicode

Total characters	392
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	159,258
2nd row	23,532
3rd row	507,229
4th row	96,287
5th row	42,123

Value	Count	Frequency (%)
42,123	1	1.6%
32,873	1	1.6%
40,595	1	1.6%
902,717	1	1.6%
75,405	1	1.6%
1,090,028	1	1.6%
233,689	1	1.6%
31,942	1	1.6%
177,596	1	1.6%
507,229	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
42,123	1	1.6%
32,873	1	1.6%
40,595	1	1.6%
902,717	1	1.6%
75,405	1	1.6%
1,090,028	1	1.6%
233,689	1	1.6%
31,942	1	1.6%
177,596	1	1.6%
507,229	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.3%
1	52	13.3%
2	41	10.5%
5	37	9.4%
3	32	8.2%
4	32	8.2%
9	31	7.9%
7	30	7.7%
8	25	6.4%
0	24	6.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	328	83.7%
Other Punctuation	64	16.3%

Most frequent character per category

Value	Count	Frequency (%)
1	52	15.9%
2	41	12.5%
5	37	11.3%
3	32	9.8%
4	32	9.8%
9	31	9.5%
7	30	9.1%
8	25	7.6%
0	24	7.3%
6	24	7.3%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	392	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.3%
1	52	13.3%
2	41	10.5%
5	37	9.4%
3	32	8.2%
4	32	8.2%
9	31	7.9%
7	30	7.7%
8	25	6.4%
0	24	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	392	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.3%
1	52	13.3%
2	41	10.5%
5	37	9.4%
3	32	8.2%
4	32	8.2%
9	31	7.9%
7	30	7.7%
8	25	6.4%
0	24	6.1%

Employed_2005
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

661,861	1
105,942	1
745,077	1
23,092	1
63,929	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.322580645
Min length	5

Characters and Unicode

Total characters	392
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	153,040
2nd row	22,163
3rd row	468,809
4th row	91,585
5th row	39,858

Value	Count	Frequency (%)
661,861	1	1.6%
105,942	1	1.6%
745,077	1	1.6%
23,092	1	1.6%
63,929	1	1.6%
359,288	1	1.6%
463,188	1	1.6%
53,984	1	1.6%
30,708	1	1.6%
115,603	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
661,861	1	1.6%
105,942	1	1.6%
745,077	1	1.6%
23,092	1	1.6%
63,929	1	1.6%
359,288	1	1.6%
463,188	1	1.6%
53,984	1	1.6%
30,708	1	1.6%
115,603	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.3%
2	44	11.2%
3	43	11.0%
1	42	10.7%
5	34	8.7%
0	34	8.7%
8	31	7.9%
4	27	6.9%
9	26	6.6%
7	24	6.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	328	83.7%
Other Punctuation	64	16.3%

Most frequent character per category

Value	Count	Frequency (%)
2	44	13.4%
3	43	13.1%
1	42	12.8%
5	34	10.4%
0	34	10.4%
8	31	9.5%
4	27	8.2%
9	26	7.9%
7	24	7.3%
6	23	7.0%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	392	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.3%
2	44	11.2%
3	43	11.0%
1	42	10.7%
5	34	8.7%
0	34	8.7%
8	31	7.9%
4	27	6.9%
9	26	6.6%
7	24	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	392	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.3%
2	44	11.2%
3	43	11.0%
1	42	10.7%
5	34	8.7%
0	34	8.7%
8	31	7.9%
4	27	6.9%
9	26	6.6%
7	24	6.1%

Unemployed_2005
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

32,595	1
66,843	1
1,435	1
4,702	1
1,314	1
Other values (57)	57

Length

Max length	6
Median length	5
Mean length	4.983870968
Min length	3

Characters and Unicode

Total characters	309
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	6,218
2nd row	1,369
3rd row	38,420
4th row	4,702
5th row	2,265

Value	Count	Frequency (%)
32,595	1	1.6%
66,843	1	1.6%
1,435	1	1.6%
4,702	1	1.6%
1,314	1	1.6%
559	1	1.6%
5,291	1	1.6%
10,489	1	1.6%
2,551	1	1.6%
1,499	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
32,595	1	1.6%
66,843	1	1.6%
1,435	1	1.6%
4,702	1	1.6%
1,314	1	1.6%
559	1	1.6%
5,291	1	1.6%
10,489	1	1.6%
2,551	1	1.6%
1,499	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	56	18.1%
1	47	15.2%
2	36	11.7%
3	27	8.7%
9	25	8.1%
4	23	7.4%
5	22	7.1%
0	20	6.5%
6	19	6.1%
8	17	5.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	253	81.9%
Other Punctuation	56	18.1%

Most frequent character per category

Value	Count	Frequency (%)
1	47	18.6%
2	36	14.2%
3	27	10.7%
9	25	9.9%
4	23	9.1%
5	22	8.7%
0	20	7.9%
6	19	7.5%
8	17	6.7%
7	17	6.7%

Value	Count	Frequency (%)
,	56	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	309	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	56	18.1%
1	47	15.2%
2	36	11.7%
3	27	8.7%
9	25	8.1%
4	23	7.4%
5	22	7.1%
0	20	6.5%
6	19	6.1%
8	17	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	309	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	56	18.1%
1	47	15.2%
2	36	11.7%
3	27	8.7%
9	25	8.1%
4	23	7.4%
5	22	7.1%
0	20	6.5%
6	19	6.1%
8	17	5.5%

Unemployment_rate_2005
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	26
Distinct (%)	41.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.935483871
Minimum	3.6
Maximum	7.6
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	3.6
5-th percentile	3.9
Q1	4.425
median	4.9
Q3	5.375
95-th percentile	6.1
Maximum	7.6
Range	4
Interquartile range (IQR)	0.95

Descriptive statistics

Standard deviation	0.7592266933
Coefficient of variation (CV)	0.1538302451
Kurtosis	1.165201862
Mean	4.935483871
Median Absolute Deviation (MAD)	0.5
Skewness	0.6081034998
Sum	306
Variance	0.5764251719
Monotocity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
5.3	6	9.7%
4.8	5	8.1%
4.5	5	8.1%
4.2	4	6.5%
4.9	4	6.5%
4	3	4.8%
5.4	3	4.8%
5.2	3	4.8%
3.9	3	4.8%
5.1	2	3.2%
Other values (16)	24	38.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3.6	2	3.2%
3.7	1	1.6%
3.9	3	4.8%
4	3	4.8%
4.2	4	6.5%

Value	Count	Frequency (%)
7.6	1	1.6%
6.2	2	3.2%
6.1	2	3.2%
6	1	1.6%
5.9	1	1.6%

Civilian_labor_force_2006
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

23,521	1
696,480	1
26,454	1
375,168	1
234,218	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.322580645
Min length	5

Characters and Unicode

Total characters	392
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	159,472
2nd row	23,521
3rd row	505,378
4th row	96,998
5th row	41,925

Value	Count	Frequency (%)
23,521	1	1.6%
696,480	1	1.6%
26,454	1	1.6%
375,168	1	1.6%
234,218	1	1.6%
471,116	1	1.6%
31,984	1	1.6%
55,378	1	1.6%
67,135	1	1.6%
56,820	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
23,521	1	1.6%
696,480	1	1.6%
26,454	1	1.6%
375,168	1	1.6%
234,218	1	1.6%
471,116	1	1.6%
31,984	1	1.6%
55,378	1	1.6%
67,135	1	1.6%
56,820	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.3%
1	41	10.5%
3	41	10.5%
2	38	9.7%
4	34	8.7%
9	31	7.9%
6	31	7.9%
7	29	7.4%
8	29	7.4%
0	28	7.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	328	83.7%
Other Punctuation	64	16.3%

Most frequent character per category

Value	Count	Frequency (%)
1	41	12.5%
3	41	12.5%
2	38	11.6%
4	34	10.4%
9	31	9.5%
6	31	9.5%
7	29	8.8%
8	29	8.8%
0	28	8.5%
5	26	7.9%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	392	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.3%
1	41	10.5%
3	41	10.5%
2	38	9.7%
4	34	8.7%
9	31	7.9%
6	31	7.9%
7	29	7.4%
8	29	7.4%
0	28	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	392	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.3%
1	41	10.5%
3	41	10.5%
2	38	9.7%
4	34	8.7%
9	31	7.9%
6	31	7.9%
7	29	7.4%
8	29	7.4%
0	28	7.1%

Employed_2006
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

1,016,247	1
358,950	1
73,050	1
756,494	1
23,542	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.322580645
Min length	5

Characters and Unicode

Total characters	392
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	153,385
2nd row	22,306
3rd row	471,748
4th row	92,545
5th row	39,788

Value	Count	Frequency (%)
1,016,247	1	1.6%
358,950	1	1.6%
73,050	1	1.6%
756,494	1	1.6%
23,542	1	1.6%
31,550	1	1.6%
38,879	1	1.6%
92,545	1	1.6%
30,585	1	1.6%
471,748	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
1,016,247	1	1.6%
358,950	1	1.6%
73,050	1	1.6%
756,494	1	1.6%
23,542	1	1.6%
31,550	1	1.6%
38,879	1	1.6%
92,545	1	1.6%
30,585	1	1.6%
471,748	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.3%
3	40	10.2%
4	40	10.2%
2	38	9.7%
5	37	9.4%
1	36	9.2%
6	33	8.4%
7	31	7.9%
0	27	6.9%
9	25	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	328	83.7%
Other Punctuation	64	16.3%

Most frequent character per category

Value	Count	Frequency (%)
3	40	12.2%
4	40	12.2%
2	38	11.6%
5	37	11.3%
1	36	11.0%
6	33	10.1%
7	31	9.5%
0	27	8.2%
9	25	7.6%
8	21	6.4%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	392	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.3%
3	40	10.2%
4	40	10.2%
2	38	9.7%
5	37	9.4%
1	36	9.2%
6	33	8.4%
7	31	7.9%
0	27	6.9%
9	25	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	392	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.3%
3	40	10.2%
4	40	10.2%
2	38	9.7%
5	37	9.4%
1	36	9.2%
6	33	8.4%
7	31	7.9%
0	27	6.9%
9	25	6.4%

Unemployed_2006
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

499	1
1,421	1
5,595	1
704	1
6,087	1
Other values (57)	57

Length

Max length	6
Median length	5
Mean length	4.967741935
Min length	3

Characters and Unicode

Total characters	308
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	6,087
2nd row	1,215
3rd row	33,630
4th row	4,453
5th row	2,137

Value	Count	Frequency (%)
499	1	1.6%
1,421	1	1.6%
5,595	1	1.6%
704	1	1.6%
6,087	1	1.6%
48,939	1	1.6%
1,198	1	1.6%
30,572	1	1.6%
1,129	1	1.6%
33,630	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
499	1	1.6%
1,421	1	1.6%
5,595	1	1.6%
704	1	1.6%
6,087	1	1.6%
48,939	1	1.6%
1,198	1	1.6%
30,572	1	1.6%
1,129	1	1.6%
33,630	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	56	18.2%
1	48	15.6%
3	34	11.0%
2	28	9.1%
5	27	8.8%
9	24	7.8%
7	22	7.1%
4	19	6.2%
0	18	5.8%
6	16	5.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	252	81.8%
Other Punctuation	56	18.2%

Most frequent character per category

Value	Count	Frequency (%)
1	48	19.0%
3	34	13.5%
2	28	11.1%
5	27	10.7%
9	24	9.5%
7	22	8.7%
4	19	7.5%
0	18	7.1%
6	16	6.3%
8	16	6.3%

Value	Count	Frequency (%)
,	56	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	308	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	56	18.2%
1	48	15.6%
3	34	11.0%
2	28	9.1%
5	27	8.8%
9	24	7.8%
7	22	7.1%
4	19	6.2%
0	18	5.8%
6	16	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	308	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	56	18.2%
1	48	15.6%
3	34	11.0%
2	28	9.1%
5	27	8.8%
9	24	7.8%
7	22	7.1%
4	19	6.2%
0	18	5.8%
6	16	5.2%

Unemployment_rate_2006
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	25
Distinct (%)	40.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.653225806
Minimum	3.4
Maximum	6.7
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	3.4
5-th percentile	3.7
Q1	4.225
median	4.6
Q3	5.175
95-th percentile	5.695
Maximum	6.7
Range	3.3
Interquartile range (IQR)	0.95

Descriptive statistics

Standard deviation	0.6679348505
Coefficient of variation (CV)	0.1435423249
Kurtosis	0.1386623145
Mean	4.653225806
Median Absolute Deviation (MAD)	0.5
Skewness	0.3355191385
Sum	288.5
Variance	0.4461369646
Monotocity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
4.3	7	11.3%
4.5	6	9.7%
4.8	4	6.5%
5.4	4	6.5%
3.7	3	4.8%
5	3	4.8%
5.3	3	4.8%
5.2	3	4.8%
4.1	3	4.8%
3.8	3	4.8%
Other values (15)	23	37.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3.4	1	1.6%
3.5	2	3.2%
3.7	3	4.8%
3.8	3	4.8%
3.9	1	1.6%

Value	Count	Frequency (%)
6.7	1	1.6%
5.8	1	1.6%
5.7	2	3.2%
5.6	1	1.6%
5.5	1	1.6%

Civilian_labor_force_2007
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

1,102,350	1
66,781	1
44,734	1
232,522	1
26,179	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.322580645
Min length	5

Characters and Unicode

Total characters	392
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	158,712
2nd row	23,405
3rd row	512,479
4th row	96,858
5th row	41,269

Value	Count	Frequency (%)
1,102,350	1	1.6%
66,781	1	1.6%
44,734	1	1.6%
232,522	1	1.6%
26,179	1	1.6%
239,789	1	1.6%
59,415	1	1.6%
75,551	1	1.6%
35,227	1	1.6%
40,956	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
1,102,350	1	1.6%
66,781	1	1.6%
44,734	1	1.6%
232,522	1	1.6%
26,179	1	1.6%
239,789	1	1.6%
59,415	1	1.6%
75,551	1	1.6%
35,227	1	1.6%
40,956	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.3%
1	43	11.0%
2	43	11.0%
5	42	10.7%
3	40	10.2%
4	37	9.4%
7	32	8.2%
9	28	7.1%
6	24	6.1%
8	20	5.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	328	83.7%
Other Punctuation	64	16.3%

Most frequent character per category

Value	Count	Frequency (%)
1	43	13.1%
2	43	13.1%
5	42	12.8%
3	40	12.2%
4	37	11.3%
7	32	9.8%
9	28	8.5%
6	24	7.3%
8	20	6.1%
0	19	5.8%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	392	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.3%
1	43	11.0%
2	43	11.0%
5	42	10.7%
3	40	10.2%
4	37	9.4%
7	32	8.2%
9	28	7.1%
6	24	6.1%
8	20	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	392	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.3%
1	43	11.0%
2	43	11.0%
5	42	10.7%
3	40	10.2%
4	37	9.4%
7	32	8.2%
9	28	7.1%
6	24	6.1%
8	20	5.1%

Employed_2007
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

228,808	1
152,567	1
139,838	1
171,540	1
72,418	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.322580645
Min length	5

Characters and Unicode

Total characters	392
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	152,567
2nd row	22,129
3rd row	477,487
4th row	92,549
5th row	39,164

Value	Count	Frequency (%)
228,808	1	1.6%
152,567	1	1.6%
139,838	1	1.6%
171,540	1	1.6%
72,418	1	1.6%
37,556	1	1.6%
30,194	1	1.6%
3,057	1	1.6%
45,510	1	1.6%
63,790	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
228,808	1	1.6%
152,567	1	1.6%
139,838	1	1.6%
171,540	1	1.6%
72,418	1	1.6%
37,556	1	1.6%
30,194	1	1.6%
3,057	1	1.6%
45,510	1	1.6%
63,790	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.3%
5	41	10.5%
2	40	10.2%
3	36	9.2%
1	35	8.9%
4	35	8.9%
7	33	8.4%
0	32	8.2%
8	28	7.1%
9	26	6.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	328	83.7%
Other Punctuation	64	16.3%

Most frequent character per category

Value	Count	Frequency (%)
5	41	12.5%
2	40	12.2%
3	36	11.0%
1	35	10.7%
4	35	10.7%
7	33	10.1%
0	32	9.8%
8	28	8.5%
9	26	7.9%
6	22	6.7%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	392	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.3%
5	41	10.5%
2	40	10.2%
3	36	9.2%
1	35	8.9%
4	35	8.9%
7	33	8.4%
0	32	8.2%
8	28	7.1%
9	26	6.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	392	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.3%
5	41	10.5%
2	40	10.2%
3	36	9.2%
1	35	8.9%
4	35	8.9%
7	33	8.4%
0	32	8.2%
8	28	7.1%
9	26	6.6%

Unemployed_2007
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

49,391	1
3,133	1
5,927	1
1,343	1
1,493	1
Other values (57)	57

Length

Max length	6
Median length	5
Mean length	4.967741935
Min length	3

Characters and Unicode

Total characters	308
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	6,145
2nd row	1,276
3rd row	34,992
4th row	4,309
5th row	2,105

Value	Count	Frequency (%)
49,391	1	1.6%
3,133	1	1.6%
5,927	1	1.6%
1,343	1	1.6%
1,493	1	1.6%
2,991	1	1.6%
25,564	1	1.6%
2,861	1	1.6%
497	1	1.6%
909	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
49,391	1	1.6%
3,133	1	1.6%
5,927	1	1.6%
1,343	1	1.6%
1,493	1	1.6%
2,991	1	1.6%
25,564	1	1.6%
2,861	1	1.6%
497	1	1.6%
909	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	56	18.2%
1	48	15.6%
2	30	9.7%
3	26	8.4%
9	26	8.4%
4	24	7.8%
5	23	7.5%
6	20	6.5%
7	20	6.5%
8	20	6.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	252	81.8%
Other Punctuation	56	18.2%

Most frequent character per category

Value	Count	Frequency (%)
1	48	19.0%
2	30	11.9%
3	26	10.3%
9	26	10.3%
4	24	9.5%
5	23	9.1%
6	20	7.9%
7	20	7.9%
8	20	7.9%
0	15	6.0%

Value	Count	Frequency (%)
,	56	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	308	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	56	18.2%
1	48	15.6%
2	30	9.7%
3	26	8.4%
9	26	8.4%
4	24	7.8%
5	23	7.5%
6	20	6.5%
7	20	6.5%
8	20	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	308	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	56	18.2%
1	48	15.6%
2	30	9.7%
3	26	8.4%
9	26	8.4%
4	24	7.8%
5	23	7.5%
6	20	6.5%
7	20	6.5%
8	20	6.5%

Unemployment_rate_2007
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	22
Distinct (%)	35.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.70483871
Minimum	3.4
Maximum	6.8
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	3.4
5-th percentile	3.7
Q1	4.3
median	4.6
Q3	5.2
95-th percentile	5.8
Maximum	6.8
Range	3.4
Interquartile range (IQR)	0.9

Descriptive statistics

Standard deviation	0.6952832703
Coefficient of variation (CV)	0.1477804688
Kurtosis	0.03731049913
Mean	4.70483871
Median Absolute Deviation (MAD)	0.5
Skewness	0.4288450382
Sum	291.7
Variance	0.483418826
Monotocity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
4.3	6	9.7%
4.7	5	8.1%
4.5	5	8.1%
3.9	5	8.1%
5.8	4	6.5%
4.9	4	6.5%
4.4	4	6.5%
4.1	3	4.8%
5.4	3	4.8%
5.5	3	4.8%
Other values (12)	20	32.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3.4	2	3.2%
3.7	3	4.8%
3.9	5	8.1%
4.1	3	4.8%
4.2	2	3.2%

Value	Count	Frequency (%)
6.8	1	1.6%
5.8	4	6.5%
5.7	1	1.6%
5.6	2	3.2%
5.5	3	4.8%

Civilian_labor_force_2008
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

56,222	1
1,106,224	1
45,922	1
931,595	1
50,282	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.338709677
Min length	5

Characters and Unicode

Total characters	393
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	160,552
2nd row	24,123
3rd row	523,746
4th row	98,160
5th row	41,766

Value	Count	Frequency (%)
56,222	1	1.6%
1,106,224	1	1.6%
45,922	1	1.6%
931,595	1	1.6%
50,282	1	1.6%
41,802	1	1.6%
111,293	1	1.6%
24,123	1	1.6%
60,525	1	1.6%
114,018	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
56,222	1	1.6%
1,106,224	1	1.6%
45,922	1	1.6%
931,595	1	1.6%
50,282	1	1.6%
41,802	1	1.6%
111,293	1	1.6%
24,123	1	1.6%
60,525	1	1.6%
114,018	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.3%
1	50	12.7%
2	49	12.5%
5	35	8.9%
3	34	8.7%
6	31	7.9%
9	30	7.6%
4	28	7.1%
0	24	6.1%
7	24	6.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	329	83.7%
Other Punctuation	64	16.3%

Most frequent character per category

Value	Count	Frequency (%)
1	50	15.2%
2	49	14.9%
5	35	10.6%
3	34	10.3%
6	31	9.4%
9	30	9.1%
4	28	8.5%
0	24	7.3%
7	24	7.3%
8	24	7.3%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	393	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.3%
1	50	12.7%
2	49	12.5%
5	35	8.9%
3	34	8.7%
6	31	7.9%
9	30	7.6%
4	28	7.1%
0	24	6.1%
7	24	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	393	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.3%
1	50	12.7%
2	49	12.5%
5	35	8.9%
3	34	8.7%
6	31	7.9%
9	30	7.6%
4	28	7.1%
0	24	6.1%
7	24	6.1%

Employed_2008
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

148,768	1
20,062	1
472,088	1
22,938	1
484,145	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.322580645
Min length	5

Characters and Unicode

Total characters	392
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	152,756
2nd row	22,578
3rd row	484,145
4th row	92,690
5th row	39,222

Value	Count	Frequency (%)
148,768	1	1.6%
20,062	1	1.6%
472,088	1	1.6%
22,938	1	1.6%
484,145	1	1.6%
43,132	1	1.6%
14,822	1	1.6%
16,237	1	1.6%
759,899	1	1.6%
56,314	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
148,768	1	1.6%
20,062	1	1.6%
472,088	1	1.6%
22,938	1	1.6%
484,145	1	1.6%
43,132	1	1.6%
14,822	1	1.6%
16,237	1	1.6%
759,899	1	1.6%
56,314	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.3%
3	41	10.5%
1	40	10.2%
2	40	10.2%
9	35	8.9%
7	33	8.4%
4	33	8.4%
5	30	7.7%
6	26	6.6%
8	25	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	328	83.7%
Other Punctuation	64	16.3%

Most frequent character per category

Value	Count	Frequency (%)
3	41	12.5%
1	40	12.2%
2	40	12.2%
9	35	10.7%
7	33	10.1%
4	33	10.1%
5	30	9.1%
6	26	7.9%
8	25	7.6%
0	25	7.6%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	392	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.3%
3	41	10.5%
1	40	10.2%
2	40	10.2%
9	35	8.9%
7	33	8.4%
4	33	8.4%
5	30	7.7%
6	26	6.6%
8	25	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	392	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.3%
3	41	10.5%
1	40	10.2%
2	40	10.2%
9	35	8.9%
7	33	8.4%
4	33	8.4%
5	30	7.7%
6	26	6.6%
8	25	6.4%

Unemployed_2008
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct	61
Distinct (%)	98.4%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

1,545	2
1,432	1
66,645	1
2,484	1
3,918	1
Other values (56)	56

Length

Max length	6
Median length	5
Mean length	5.016129032
Min length	3

Characters and Unicode

Total characters	311
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	60 ?
Unique (%)	96.8%

Sample

1st row	7,796
2nd row	1,545
3rd row	39,601
4th row	5,470
5th row	2,544

Value	Count	Frequency (%)
1,545	2	3.2%
1,432	1	1.6%
66,645	1	1.6%
2,484	1	1.6%
3,918	1	1.6%
1,803	1	1.6%
7,796	1	1.6%
20,675	1	1.6%
23,743	1	1.6%
2,065	1	1.6%
Other values (51)	51	82.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
1,545	2	3.2%
1,432	1	1.6%
66,645	1	1.6%
2,484	1	1.6%
3,918	1	1.6%
1,803	1	1.6%
7,796	1	1.6%
20,675	1	1.6%
23,743	1	1.6%
2,065	1	1.6%
Other values (51)	51	82.3%

Most occurring characters

Value	Count	Frequency (%)
,	57	18.3%
1	38	12.2%
2	38	12.2%
5	31	10.0%
3	29	9.3%
4	26	8.4%
9	21	6.8%
7	20	6.4%
6	18	5.8%
8	17	5.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	254	81.7%
Other Punctuation	57	18.3%

Most frequent character per category

Value	Count	Frequency (%)
1	38	15.0%
2	38	15.0%
5	31	12.2%
3	29	11.4%
4	26	10.2%
9	21	8.3%
7	20	7.9%
6	18	7.1%
8	17	6.7%
0	16	6.3%

Value	Count	Frequency (%)
,	57	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	311	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	57	18.3%
1	38	12.2%
2	38	12.2%
5	31	10.0%
3	29	9.3%
4	26	8.4%
9	21	6.8%
7	20	6.4%
6	18	5.8%
8	17	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	311	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	57	18.3%
1	38	12.2%
2	38	12.2%
5	31	10.0%
3	29	9.3%
4	26	8.4%
9	21	6.8%
7	20	6.4%
6	18	5.8%
8	17	5.5%

Unemployment_rate_2008
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	27
Distinct (%)	43.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.769354839
Minimum	4.1
Maximum	7.6
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	4.1
5-th percentile	4.705
Q1	5.2
median	5.65
Q3	6.4
95-th percentile	6.995
Maximum	7.6
Range	3.5
Interquartile range (IQR)	1.2

Descriptive statistics

Standard deviation	0.7772563578
Coefficient of variation (CV)	0.1347215381
Kurtosis	-0.6462887806
Mean	5.769354839
Median Absolute Deviation (MAD)	0.55
Skewness	0.2042897983
Sum	357.7
Variance	0.6041274458
Monotocity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
5.5	5	8.1%
6.7	4	6.5%
5.6	4	6.5%
4.9	3	4.8%
6.4	3	4.8%
5.7	3	4.8%
4.8	3	4.8%
5.9	3	4.8%
6.9	3	4.8%
5.2	3	4.8%
Other values (17)	28	45.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4.1	1	1.6%
4.4	1	1.6%
4.6	1	1.6%
4.7	1	1.6%
4.8	3	4.8%

Value	Count	Frequency (%)
7.6	1	1.6%
7.1	2	3.2%
7	1	1.6%
6.9	3	4.8%
6.8	1	1.6%

Civilian_labor_force_2009
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

65,934	1
12,755	1
931,604	1
27,246	1
39,787	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.338709677
Min length	5

Characters and Unicode

Total characters	393
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	158,937
2nd row	23,898
3rd row	533,866
4th row	97,500
5th row	41,668

Value	Count	Frequency (%)
65,934	1	1.6%
12,755	1	1.6%
931,604	1	1.6%
27,246	1	1.6%
39,787	1	1.6%
32,143	1	1.6%
692,905	1	1.6%
89,944	1	1.6%
246,087	1	1.6%
19,376	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
65,934	1	1.6%
12,755	1	1.6%
931,604	1	1.6%
27,246	1	1.6%
39,787	1	1.6%
32,143	1	1.6%
692,905	1	1.6%
89,944	1	1.6%
246,087	1	1.6%
19,376	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.3%
1	47	12.0%
3	44	11.2%
4	36	9.2%
6	35	8.9%
2	34	8.7%
0	30	7.6%
5	29	7.4%
9	26	6.6%
7	25	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	329	83.7%
Other Punctuation	64	16.3%

Most frequent character per category

Value	Count	Frequency (%)
1	47	14.3%
3	44	13.4%
4	36	10.9%
6	35	10.6%
2	34	10.3%
0	30	9.1%
5	29	8.8%
9	26	7.9%
7	25	7.6%
8	23	7.0%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	393	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.3%
1	47	12.0%
3	44	11.2%
4	36	9.2%
6	35	8.9%
2	34	8.7%
0	30	7.6%
5	29	7.4%
9	26	6.6%
7	25	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	393	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.3%
1	47	12.0%
3	44	11.2%
4	36	9.2%
6	35	8.9%
2	34	8.7%
0	30	7.6%
5	29	7.4%
9	26	6.6%
7	25	6.4%

Employed_2009
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

29,121	1
12,341	1
19,147	1
33,175	1
24,124	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.322580645
Min length	5

Characters and Unicode

Total characters	392
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	148,183
2nd row	21,816
3rd row	469,624
4th row	89,553
5th row	38,079

Value	Count	Frequency (%)
29,121	1	1.6%
12,341	1	1.6%
19,147	1	1.6%
33,175	1	1.6%
24,124	1	1.6%
52,826	1	1.6%
32,309	1	1.6%
41,573	1	1.6%
77,680	1	1.6%
14,198	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
29,121	1	1.6%
12,341	1	1.6%
19,147	1	1.6%
33,175	1	1.6%
24,124	1	1.6%
52,826	1	1.6%
32,309	1	1.6%
41,573	1	1.6%
77,680	1	1.6%
14,198	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.3%
1	51	13.0%
2	48	12.2%
3	42	10.7%
4	39	9.9%
6	26	6.6%
5	26	6.6%
0	26	6.6%
8	25	6.4%
7	24	6.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	328	83.7%
Other Punctuation	64	16.3%

Most frequent character per category

Value	Count	Frequency (%)
1	51	15.5%
2	48	14.6%
3	42	12.8%
4	39	11.9%
6	26	7.9%
5	26	7.9%
0	26	7.9%
8	25	7.6%
7	24	7.3%
9	21	6.4%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	392	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.3%
1	51	13.0%
2	48	12.2%
3	42	10.7%
4	39	9.9%
6	26	6.6%
5	26	6.6%
0	26	6.6%
8	25	6.4%
7	24	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	392	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.3%
1	51	13.0%
2	48	12.2%
3	42	10.7%
4	39	9.9%
6	26	6.6%
5	26	6.6%
0	26	6.6%
8	25	6.4%
7	24	6.1%

Unemployed_2009
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

3,072	1
2,479	1
2,311	1
5,582	1
10,754	1
Other values (57)	57

Length

Max length	7
Median length	5
Mean length	5.177419355
Min length	3

Characters and Unicode

Total characters	321
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	10,754
2nd row	2,082
3rd row	64,242
4th row	7,947
5th row	3,589

Value	Count	Frequency (%)
3,072	1	1.6%
2,479	1	1.6%
2,311	1	1.6%
5,582	1	1.6%
10,754	1	1.6%
226	1	1.6%
17,839	1	1.6%
2,003	1	1.6%
839	1	1.6%
1,383	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
3,072	1	1.6%
2,479	1	1.6%
2,311	1	1.6%
5,582	1	1.6%
10,754	1	1.6%
226	1	1.6%
17,839	1	1.6%
2,003	1	1.6%
839	1	1.6%
1,383	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	59	18.4%
1	42	13.1%
2	35	10.9%
4	30	9.3%
3	28	8.7%
7	24	7.5%
8	24	7.5%
0	22	6.9%
5	21	6.5%
9	20	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	262	81.6%
Other Punctuation	59	18.4%

Most frequent character per category

Value	Count	Frequency (%)
1	42	16.0%
2	35	13.4%
4	30	11.5%
3	28	10.7%
7	24	9.2%
8	24	9.2%
0	22	8.4%
5	21	8.0%
9	20	7.6%
6	16	6.1%

Value	Count	Frequency (%)
,	59	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	321	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	59	18.4%
1	42	13.1%
2	35	10.9%
4	30	9.3%
3	28	8.7%
7	24	7.5%
8	24	7.5%
0	22	6.9%
5	21	6.5%
9	20	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	321	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	59	18.4%
1	42	13.1%
2	35	10.9%
4	30	9.3%
3	28	8.7%
7	24	7.5%
8	24	7.5%
0	22	6.9%
5	21	6.5%
9	20	6.2%

Unemployment_rate_2009
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	31
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	8.217741935
Minimum	5.9
Maximum	12
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	5.9
5-th percentile	6.705
Q1	7.5
median	8.25
Q3	8.875
95-th percentile	9.79
Maximum	12
Range	6.1
Interquartile range (IQR)	1.375

Descriptive statistics

Standard deviation	1.033143253
Coefficient of variation (CV)	0.1257210632
Kurtosis	1.79458331
Mean	8.217741935
Median Absolute Deviation (MAD)	0.65
Skewness	0.6111829232
Sum	509.5
Variance	1.067384981
Monotocity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
8.3	5	8.1%
7.4	4	6.5%
7.6	3	4.8%
7.3	3	4.8%
9.3	3	4.8%
8.4	3	4.8%
8.9	3	4.8%
8.1	3	4.8%
9.6	2	3.2%
9.8	2	3.2%
Other values (21)	31	50.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5.9	1	1.6%
6.3	1	1.6%
6.7	2	3.2%
6.8	1	1.6%
6.9	2	3.2%

Value	Count	Frequency (%)
12	1	1.6%
9.9	1	1.6%
9.8	2	3.2%
9.6	2	3.2%
9.5	1	1.6%

Civilian_labor_force_2010
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

12,756	1
30,233	1
47,429	1
47,303	1
16,423	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.322580645
Min length	5

Characters and Unicode

Total characters	392
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	161,511
2nd row	24,240
3rd row	582,287
4th row	97,844
5th row	39,654

Value	Count	Frequency (%)
12,756	1	1.6%
30,233	1	1.6%
47,429	1	1.6%
47,303	1	1.6%
16,423	1	1.6%
22,101	1	1.6%
54,767	1	1.6%
39,701	1	1.6%
112,248	1	1.6%
15,924	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
12,756	1	1.6%
30,233	1	1.6%
47,429	1	1.6%
47,303	1	1.6%
16,423	1	1.6%
22,101	1	1.6%
54,767	1	1.6%
39,701	1	1.6%
112,248	1	1.6%
15,924	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.3%
1	46	11.7%
2	40	10.2%
4	39	9.9%
3	34	8.7%
6	33	8.4%
5	33	8.4%
9	29	7.4%
8	26	6.6%
7	26	6.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	328	83.7%
Other Punctuation	64	16.3%

Most frequent character per category

Value	Count	Frequency (%)
1	46	14.0%
2	40	12.2%
4	39	11.9%
3	34	10.4%
6	33	10.1%
5	33	10.1%
9	29	8.8%
8	26	7.9%
7	26	7.9%
0	22	6.7%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	392	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.3%
1	46	11.7%
2	40	10.2%
4	39	9.9%
3	34	8.7%
6	33	8.4%
5	33	8.4%
9	29	7.4%
8	26	6.6%
7	26	6.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	392	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.3%
1	46	11.7%
2	40	10.2%
4	39	9.9%
3	34	8.7%
6	33	8.4%
5	33	8.4%
9	29	7.4%
8	26	6.6%
7	26	6.6%

Employed_2010
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

103,684	1
2,256	1
20,249	1
24,448	1
72,974	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.306451613
Min length	5

Characters and Unicode

Total characters	391
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	150,264
2nd row	22,022
3rd row	512,477
4th row	89,316
5th row	35,881

Value	Count	Frequency (%)
103,684	1	1.6%
2,256	1	1.6%
20,249	1	1.6%
24,448	1	1.6%
72,974	1	1.6%
166,830	1	1.6%
15,078	1	1.6%
97,467	1	1.6%
443,476	1	1.6%
17,616	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
103,684	1	1.6%
2,256	1	1.6%
20,249	1	1.6%
24,448	1	1.6%
72,974	1	1.6%
166,830	1	1.6%
15,078	1	1.6%
97,467	1	1.6%
443,476	1	1.6%
17,616	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.4%
1	45	11.5%
2	45	11.5%
4	37	9.5%
0	35	9.0%
7	32	8.2%
8	32	8.2%
3	27	6.9%
6	26	6.6%
9	25	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	327	83.6%
Other Punctuation	64	16.4%

Most frequent character per category

Value	Count	Frequency (%)
1	45	13.8%
2	45	13.8%
4	37	11.3%
0	35	10.7%
7	32	9.8%
8	32	9.8%
3	27	8.3%
6	26	8.0%
9	25	7.6%
5	23	7.0%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	391	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.4%
1	45	11.5%
2	45	11.5%
4	37	9.5%
0	35	9.0%
7	32	8.2%
8	32	8.2%
3	27	6.9%
6	26	6.6%
9	25	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	391	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.4%
1	45	11.5%
2	45	11.5%
4	37	9.5%
0	35	9.0%
7	32	8.2%
8	32	8.2%
3	27	6.9%
6	26	6.6%
9	25	6.4%

Unemployed_2010
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

2,768	1
822	1
2,182	1
10,380	1
4,523	1
Other values (57)	57

Length

Max length	7
Median length	5
Mean length	5.177419355
Min length	3

Characters and Unicode

Total characters	321
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	11,247
2nd row	2,218
3rd row	69,810
4th row	8,528
5th row	3,773

Value	Count	Frequency (%)
2,768	1	1.6%
822	1	1.6%
2,182	1	1.6%
10,380	1	1.6%
4,523	1	1.6%
3,072	1	1.6%
20,460	1	1.6%
1,835	1	1.6%
1,420	1	1.6%
1,966	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
2,768	1	1.6%
822	1	1.6%
2,182	1	1.6%
10,380	1	1.6%
4,523	1	1.6%
3,072	1	1.6%
20,460	1	1.6%
1,835	1	1.6%
1,420	1	1.6%
1,966	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	59	18.4%
1	43	13.4%
2	43	13.4%
4	30	9.3%
5	24	7.5%
6	23	7.2%
0	23	7.2%
3	22	6.9%
8	20	6.2%
7	18	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	262	81.6%
Other Punctuation	59	18.4%

Most frequent character per category

Value	Count	Frequency (%)
1	43	16.4%
2	43	16.4%
4	30	11.5%
5	24	9.2%
6	23	8.8%
0	23	8.8%
3	22	8.4%
8	20	7.6%
7	18	6.9%
9	16	6.1%

Value	Count	Frequency (%)
,	59	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	321	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	59	18.4%
1	43	13.4%
2	43	13.4%
4	30	9.3%
5	24	7.5%
6	23	7.2%
0	23	7.2%
3	22	6.9%
8	20	6.2%
7	18	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	321	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	59	18.4%
1	43	13.4%
2	43	13.4%
4	30	9.3%
5	24	7.5%
6	23	7.2%
0	23	7.2%
3	22	6.9%
8	20	6.2%
7	18	5.6%

Unemployment_rate_2010
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	34
Distinct (%)	54.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	8.60483871
Minimum	6.2
Maximum	12
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	6.2
5-th percentile	7.105
Q1	7.8
median	8.6
Q3	9.2
95-th percentile	10.29
Maximum	12
Range	5.8
Interquartile range (IQR)	1.4

Descriptive statistics

Standard deviation	1.062077676
Coefficient of variation (CV)	0.1234279586
Kurtosis	0.6070844798
Mean	8.60483871
Median Absolute Deviation (MAD)	0.75
Skewness	0.4286063846
Sum	533.5
Variance	1.12800899
Monotocity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
8.9	5	8.1%
8	5	8.1%
9.6	3	4.8%
7.6	3	4.8%
9.2	3	4.8%
9.1	3	4.8%
8.6	3	4.8%
7.4	3	4.8%
9.8	2	3.2%
7.8	2	3.2%
Other values (24)	30	48.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
6.2	1	1.6%
6.9	1	1.6%
7	1	1.6%
7.1	1	1.6%
7.2	1	1.6%

Value	Count	Frequency (%)
12	1	1.6%
10.6	2	3.2%
10.3	1	1.6%
10.1	1	1.6%
9.9	1	1.6%

Civilian_labor_force_2011
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

23,657	1
146,309	1
770,533	1
18,881	1
882,224	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.322580645
Min length	5

Characters and Unicode

Total characters	392
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	158,289
2nd row	23,657
3rd row	584,353
4th row	94,727
5th row	38,540

Value	Count	Frequency (%)
23,657	1	1.6%
146,309	1	1.6%
770,533	1	1.6%
18,881	1	1.6%
882,224	1	1.6%
38,540	1	1.6%
57,994	1	1.6%
115,669	1	1.6%
232,622	1	1.6%
55,756	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
23,657	1	1.6%
146,309	1	1.6%
770,533	1	1.6%
18,881	1	1.6%
882,224	1	1.6%
38,540	1	1.6%
57,994	1	1.6%
115,669	1	1.6%
232,622	1	1.6%
55,756	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.3%
2	43	11.0%
1	42	10.7%
3	40	10.2%
8	37	9.4%
7	31	7.9%
5	29	7.4%
4	29	7.4%
0	29	7.4%
6	27	6.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	328	83.7%
Other Punctuation	64	16.3%

Most frequent character per category

Value	Count	Frequency (%)
2	43	13.1%
1	42	12.8%
3	40	12.2%
8	37	11.3%
7	31	9.5%
5	29	8.8%
4	29	8.8%
0	29	8.8%
6	27	8.2%
9	21	6.4%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	392	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.3%
2	43	11.0%
1	42	10.7%
3	40	10.2%
8	37	9.4%
7	31	7.9%
5	29	7.4%
4	29	7.4%
0	29	7.4%
6	27	6.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	392	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.3%
2	43	11.0%
1	42	10.7%
3	40	10.2%
8	37	9.4%
7	31	7.9%
5	29	7.4%
4	29	7.4%
0	29	7.4%
6	27	6.9%

Employed_2011
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

17,232	1
636,681	1
22,284	1
51,752	1
14,163	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.306451613
Min length	5

Characters and Unicode

Total characters	391
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	147,330
2nd row	21,545
3rd row	514,635
4th row	86,579
5th row	34,943

Value	Count	Frequency (%)
17,232	1	1.6%
636,681	1	1.6%
22,284	1	1.6%
51,752	1	1.6%
14,163	1	1.6%
107,973	1	1.6%
21,034	1	1.6%
514,635	1	1.6%
813,275	1	1.6%
23,832	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
17,232	1	1.6%
636,681	1	1.6%
22,284	1	1.6%
51,752	1	1.6%
14,163	1	1.6%
107,973	1	1.6%
21,034	1	1.6%
514,635	1	1.6%
813,275	1	1.6%
23,832	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.4%
1	55	14.1%
2	43	11.0%
3	35	9.0%
4	33	8.4%
5	33	8.4%
9	29	7.4%
0	26	6.6%
8	25	6.4%
7	24	6.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	327	83.6%
Other Punctuation	64	16.4%

Most frequent character per category

Value	Count	Frequency (%)
1	55	16.8%
2	43	13.1%
3	35	10.7%
4	33	10.1%
5	33	10.1%
9	29	8.9%
0	26	8.0%
8	25	7.6%
7	24	7.3%
6	24	7.3%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	391	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.4%
1	55	14.1%
2	43	11.0%
3	35	9.0%
4	33	8.4%
5	33	8.4%
9	29	7.4%
0	26	6.6%
8	25	6.4%
7	24	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	391	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.4%
1	55	14.1%
2	43	11.0%
3	35	9.0%
4	33	8.4%
5	33	8.4%
9	29	7.4%
0	26	6.6%
8	25	6.4%
7	24	6.1%

Unemployed_2011
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

2,837	1
89,671	1
3,197	1
111,959	1
1,649	1
Other values (57)	57

Length

Max length	7
Median length	5
Mean length	5.161290323
Min length	3

Characters and Unicode

Total characters	320
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	10,959
2nd row	2,112
3rd row	69,718
4th row	8,148
5th row	3,597

Value	Count	Frequency (%)
2,837	1	1.6%
89,671	1	1.6%
3,197	1	1.6%
111,959	1	1.6%
1,649	1	1.6%
3,684	1	1.6%
2,024	1	1.6%
5,076	1	1.6%
19,850	1	1.6%
2,112	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
2,837	1	1.6%
89,671	1	1.6%
3,197	1	1.6%
111,959	1	1.6%
1,649	1	1.6%
3,684	1	1.6%
2,024	1	1.6%
5,076	1	1.6%
19,850	1	1.6%
2,112	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	59	18.4%
1	33	10.3%
6	31	9.7%
2	29	9.1%
9	28	8.8%
8	27	8.4%
7	25	7.8%
4	24	7.5%
0	22	6.9%
3	22	6.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	261	81.6%
Other Punctuation	59	18.4%

Most frequent character per category

Value	Count	Frequency (%)
1	33	12.6%
6	31	11.9%
2	29	11.1%
9	28	10.7%
8	27	10.3%
7	25	9.6%
4	24	9.2%
0	22	8.4%
3	22	8.4%
5	20	7.7%

Value	Count	Frequency (%)
,	59	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	320	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	59	18.4%
1	33	10.3%
6	31	9.7%
2	29	9.1%
9	28	8.8%
8	27	8.4%
7	25	7.8%
4	24	7.5%
0	22	6.9%
3	22	6.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	320	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	59	18.4%
1	33	10.3%
6	31	9.7%
2	29	9.1%
9	28	8.8%
8	27	8.4%
7	25	7.8%
4	24	7.5%
0	22	6.9%
3	22	6.9%

Unemployment_rate_2011
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	34
Distinct (%)	54.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	8.424193548
Minimum	6.1
Maximum	11.9
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	6.1
5-th percentile	6.905
Q1	7.7
median	8.2
Q3	9.1
95-th percentile	10.39
Maximum	11.9
Range	5.8
Interquartile range (IQR)	1.4

Descriptive statistics

Standard deviation	1.119380022
Coefficient of variation (CV)	0.1328768167
Kurtosis	0.4883150493
Mean	8.424193548
Median Absolute Deviation (MAD)	0.7
Skewness	0.5986166629
Sum	522.3
Variance	1.253011634
Monotocity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
7.7	5	8.1%
9.1	4	6.5%
7.8	4	6.5%
8.7	4	6.5%
7.1	4	6.5%
7.6	3	4.8%
7.5	3	4.8%
8.1	3	4.8%
8.9	3	4.8%
9.6	2	3.2%
Other values (24)	27	43.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
6.1	1	1.6%
6.7	1	1.6%
6.8	1	1.6%
6.9	1	1.6%
7	1	1.6%

Value	Count	Frequency (%)
11.9	1	1.6%
10.8	1	1.6%
10.6	1	1.6%
10.4	1	1.6%
10.2	1	1.6%

Civilian_labor_force_2012
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

1,124,169	1
18,873	1
894,987	1
34,620	1
21,589	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.322580645
Min length	5

Characters and Unicode

Total characters	392
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	160,657
2nd row	23,691
3rd row	594,943
4th row	94,012
5th row	38,308

Value	Count	Frequency (%)
1,124,169	1	1.6%
18,873	1	1.6%
894,987	1	1.6%
34,620	1	1.6%
21,589	1	1.6%
78,052	1	1.6%
18,176	1	1.6%
21,796	1	1.6%
30,538	1	1.6%
56,046	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
1,124,169	1	1.6%
18,873	1	1.6%
894,987	1	1.6%
34,620	1	1.6%
21,589	1	1.6%
78,052	1	1.6%
18,176	1	1.6%
21,796	1	1.6%
30,538	1	1.6%
56,046	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.3%
1	45	11.5%
2	40	10.2%
4	35	8.9%
5	33	8.4%
3	33	8.4%
6	30	7.7%
9	30	7.7%
8	28	7.1%
0	27	6.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	328	83.7%
Other Punctuation	64	16.3%

Most frequent character per category

Value	Count	Frequency (%)
1	45	13.7%
2	40	12.2%
4	35	10.7%
5	33	10.1%
3	33	10.1%
6	30	9.1%
9	30	9.1%
8	28	8.5%
0	27	8.2%
7	27	8.2%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	392	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.3%
1	45	11.5%
2	40	10.2%
4	35	8.9%
5	33	8.4%
3	33	8.4%
6	30	7.7%
9	30	7.7%
8	28	7.1%
0	27	6.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	392	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.3%
1	45	11.5%
2	40	10.2%
4	35	8.9%
5	33	8.4%
3	33	8.4%
6	30	7.7%
9	30	7.7%
8	28	7.1%
0	27	6.9%

Employed_2012
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

14,946	1
2,187	1
72,058	1
85,835	1
31,675	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.290322581
Min length	5

Characters and Unicode

Total characters	390
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	149,260
2nd row	21,697
3rd row	520,987
4th row	85,835
5th row	34,733

Value	Count	Frequency (%)
14,946	1	1.6%
2,187	1	1.6%
72,058	1	1.6%
85,835	1	1.6%
31,675	1	1.6%
56,055	1	1.6%
1,031,021	1	1.6%
29,625	1	1.6%
27,861	1	1.6%
197,583	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
14,946	1	1.6%
2,187	1	1.6%
72,058	1	1.6%
85,835	1	1.6%
31,675	1	1.6%
56,055	1	1.6%
1,031,021	1	1.6%
29,625	1	1.6%
27,861	1	1.6%
197,583	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.4%
4	47	12.1%
1	45	11.5%
2	41	10.5%
3	34	8.7%
5	30	7.7%
6	27	6.9%
7	27	6.9%
8	27	6.9%
9	26	6.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	326	83.6%
Other Punctuation	64	16.4%

Most frequent character per category

Value	Count	Frequency (%)
4	47	14.4%
1	45	13.8%
2	41	12.6%
3	34	10.4%
5	30	9.2%
6	27	8.3%
7	27	8.3%
8	27	8.3%
9	26	8.0%
0	22	6.7%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	390	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.4%
4	47	12.1%
1	45	11.5%
2	41	10.5%
3	34	8.7%
5	30	7.7%
6	27	6.9%
7	27	6.9%
8	27	6.9%
9	26	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	390	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.4%
4	47	12.1%
1	45	11.5%
2	41	10.5%
3	34	8.7%
5	30	7.7%
6	27	6.9%
7	27	6.9%
8	27	6.9%
9	26	6.7%

Unemployed_2012
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

1,887	1
2,945	1
2,230	1
8,005	1
2,677	1
Other values (57)	57

Length

Max length	7
Median length	5
Mean length	5.161290323
Min length	3

Characters and Unicode

Total characters	320
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	11,397
2nd row	1,994
3rd row	73,956
4th row	8,177
5th row	3,575

Value	Count	Frequency (%)
1,887	1	1.6%
2,945	1	1.6%
2,230	1	1.6%
8,005	1	1.6%
2,677	1	1.6%
2,440	1	1.6%
3,101	1	1.6%
116,363	1	1.6%
943	1	1.6%
1,296	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
1,887	1	1.6%
2,945	1	1.6%
2,230	1	1.6%
8,005	1	1.6%
2,677	1	1.6%
2,440	1	1.6%
3,101	1	1.6%
116,363	1	1.6%
943	1	1.6%
1,296	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	59	18.4%
2	37	11.6%
1	33	10.3%
4	31	9.7%
3	30	9.4%
7	30	9.4%
9	23	7.2%
6	20	6.2%
8	20	6.2%
5	19	5.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	261	81.6%
Other Punctuation	59	18.4%

Most frequent character per category

Value	Count	Frequency (%)
2	37	14.2%
1	33	12.6%
4	31	11.9%
3	30	11.5%
7	30	11.5%
9	23	8.8%
6	20	7.7%
8	20	7.7%
5	19	7.3%
0	18	6.9%

Value	Count	Frequency (%)
,	59	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	320	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	59	18.4%
2	37	11.6%
1	33	10.3%
4	31	9.7%
3	30	9.4%
7	30	9.4%
9	23	7.2%
6	20	6.2%
8	20	6.2%
5	19	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	320	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	59	18.4%
2	37	11.6%
1	33	10.3%
4	31	9.7%
3	30	9.4%
7	30	9.4%
9	23	7.2%
6	20	6.2%
8	20	6.2%
5	19	5.9%

Unemployment_rate_2012
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	33
Distinct (%)	53.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	8.635483871
Minimum	6.1
Maximum	12.4
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	6.1
5-th percentile	7.005
Q1	7.9
median	8.45
Q3	9.375
95-th percentile	10.685
Maximum	12.4
Range	6.3
Interquartile range (IQR)	1.475

Descriptive statistics

Standard deviation	1.167889616
Coefficient of variation (CV)	0.1352431009
Kurtosis	0.7816551151
Mean	8.635483871
Median Absolute Deviation (MAD)	0.75
Skewness	0.6364600957
Sum	535.4
Variance	1.363966155
Monotocity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
7.9	6	9.7%
8.3	5	8.1%
7.8	4	6.5%
8.6	3	4.8%
9.3	3	4.8%
7.3	3	4.8%
8	2	3.2%
8.7	2	3.2%
7.7	2	3.2%
9.4	2	3.2%
Other values (23)	30	48.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
6.1	1	1.6%
6.8	1	1.6%
7	2	3.2%
7.1	1	1.6%
7.2	1	1.6%

Value	Count	Frequency (%)
12.4	1	1.6%
11	2	3.2%
10.7	1	1.6%
10.4	1	1.6%
10.2	1	1.6%

Civilian_labor_force_2013
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

21,544	1
91,934	1
38,100	1
90,350	1
12,245	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.322580645
Min length	5

Characters and Unicode

Total characters	392
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	160,805
2nd row	23,799
3rd row	603,461
4th row	91,934
5th row	38,100

Value	Count	Frequency (%)
21,544	1	1.6%
91,934	1	1.6%
38,100	1	1.6%
90,350	1	1.6%
12,245	1	1.6%
30,534	1	1.6%
150,777	1	1.6%
160,805	1	1.6%
697,079	1	1.6%
45,687	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
21,544	1	1.6%
91,934	1	1.6%
38,100	1	1.6%
90,350	1	1.6%
12,245	1	1.6%
30,534	1	1.6%
150,777	1	1.6%
160,805	1	1.6%
697,079	1	1.6%
45,687	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.3%
1	54	13.8%
0	36	9.2%
3	35	8.9%
4	35	8.9%
8	33	8.4%
7	33	8.4%
2	31	7.9%
5	29	7.4%
9	25	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	328	83.7%
Other Punctuation	64	16.3%

Most frequent character per category

Value	Count	Frequency (%)
1	54	16.5%
0	36	11.0%
3	35	10.7%
4	35	10.7%
8	33	10.1%
7	33	10.1%
2	31	9.5%
5	29	8.8%
9	25	7.6%
6	17	5.2%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	392	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.3%
1	54	13.8%
0	36	9.2%
3	35	8.9%
4	35	8.9%
8	33	8.4%
7	33	8.4%
2	31	7.9%
5	29	7.4%
9	25	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	392	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.3%
1	54	13.8%
0	36	9.2%
3	35	8.9%
4	35	8.9%
8	33	8.4%
7	33	8.4%
2	31	7.9%
5	29	7.4%
9	25	6.4%

Employed_2013
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

201,233	1
27,656	1
22,426	1
19,394	1
1,098,648	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.290322581
Min length	5

Characters and Unicode

Total characters	390
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	151,059
2nd row	22,014
3rd row	532,428
4th row	84,779
5th row	34,851

Value	Count	Frequency (%)
201,233	1	1.6%
27,656	1	1.6%
22,426	1	1.6%
19,394	1	1.6%
1,098,648	1	1.6%
29,640	1	1.6%
96,158	1	1.6%
730,042	1	1.6%
14,057	1	1.6%
29,936	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
201,233	1	1.6%
27,656	1	1.6%
22,426	1	1.6%
19,394	1	1.6%
1,098,648	1	1.6%
29,640	1	1.6%
96,158	1	1.6%
730,042	1	1.6%
14,057	1	1.6%
29,936	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.4%
1	45	11.5%
2	41	10.5%
4	37	9.5%
8	36	9.2%
3	35	9.0%
9	34	8.7%
5	26	6.7%
7	26	6.7%
0	24	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	326	83.6%
Other Punctuation	64	16.4%

Most frequent character per category

Value	Count	Frequency (%)
1	45	13.8%
2	41	12.6%
4	37	11.3%
8	36	11.0%
3	35	10.7%
9	34	10.4%
5	26	8.0%
7	26	8.0%
0	24	7.4%
6	22	6.7%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	390	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.4%
1	45	11.5%
2	41	10.5%
4	37	9.5%
8	36	9.2%
3	35	9.0%
9	34	8.7%
5	26	6.7%
7	26	6.7%
0	24	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	390	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.4%
1	45	11.5%
2	41	10.5%
4	37	9.5%
8	36	9.2%
3	35	9.0%
9	34	8.7%
5	26	6.7%
7	26	6.7%
0	24	6.2%

Unemployed_2013
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

1,158	1
15,849	1
34,122	1
88,426	1
6,865	1
Other values (57)	57

Length

Max length	7
Median length	5
Mean length	5.112903226
Min length	3

Characters and Unicode

Total characters	317
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	9,746
2nd row	1,785
3rd row	71,033
4th row	7,155
5th row	3,249

Value	Count	Frequency (%)
1,158	1	1.6%
15,849	1	1.6%
34,122	1	1.6%
88,426	1	1.6%
6,865	1	1.6%
2,087	1	1.6%
9,746	1	1.6%
26,133	1	1.6%
7,155	1	1.6%
2,240	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
1,158	1	1.6%
15,849	1	1.6%
34,122	1	1.6%
88,426	1	1.6%
6,865	1	1.6%
2,087	1	1.6%
9,746	1	1.6%
26,133	1	1.6%
7,155	1	1.6%
2,240	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	59	18.6%
1	51	16.1%
2	35	11.0%
8	28	8.8%
3	26	8.2%
4	24	7.6%
5	22	6.9%
9	21	6.6%
7	19	6.0%
6	17	5.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	258	81.4%
Other Punctuation	59	18.6%

Most frequent character per category

Value	Count	Frequency (%)
1	51	19.8%
2	35	13.6%
8	28	10.9%
3	26	10.1%
4	24	9.3%
5	22	8.5%
9	21	8.1%
7	19	7.4%
6	17	6.6%
0	15	5.8%

Value	Count	Frequency (%)
,	59	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	317	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	59	18.6%
1	51	16.1%
2	35	11.0%
8	28	8.8%
3	26	8.2%
4	24	7.6%
5	22	6.9%
9	21	6.6%
7	19	6.0%
6	17	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	317	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	59	18.6%
1	51	16.1%
2	35	11.0%
8	28	8.8%
3	26	8.2%
4	24	7.6%
5	22	6.9%
9	21	6.6%
7	19	6.0%
6	17	5.4%

Unemployment_rate_2013
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	33
Distinct (%)	53.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.70483871
Minimum	5.2
Maximum	11.8
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	5.2
5-th percentile	6.005
Q1	6.8
median	7.6
Q3	8.475
95-th percentile	9.5
Maximum	11.8
Range	6.6
Interquartile range (IQR)	1.675

Descriptive statistics

Standard deviation	1.210937507
Coefficient of variation (CV)	0.1571658477
Kurtosis	0.848023021
Mean	7.70483871
Median Absolute Deviation (MAD)	0.8
Skewness	0.5894014697
Sum	477.7
Variance	1.466369646
Monotocity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
6.8	5	8.1%
7.5	3	4.8%
8.8	3	4.8%
6.7	3	4.8%
7.4	3	4.8%
9.5	3	4.8%
7.9	3	4.8%
6.3	3	4.8%
8.5	2	3.2%
7	2	3.2%
Other values (23)	32	51.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5.2	1	1.6%
5.8	1	1.6%
5.9	1	1.6%
6	1	1.6%
6.1	2	3.2%

Value	Count	Frequency (%)
11.8	1	1.6%
9.9	1	1.6%
9.5	3	4.8%
9.4	1	1.6%
9.2	2	3.2%

Civilian_labor_force_2014
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

8,603	1
33,269	1
76,083	1
470,532	1
47,068	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.322580645
Min length	5

Characters and Unicode

Total characters	392
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	157,231
2nd row	23,317
3rd row	603,659
4th row	87,974
5th row	36,618

Value	Count	Frequency (%)
8,603	1	1.6%
33,269	1	1.6%
76,083	1	1.6%
470,532	1	1.6%
47,068	1	1.6%
54,746	1	1.6%
20,711	1	1.6%
11,864	1	1.6%
18,042	1	1.6%
224,609	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
8,603	1	1.6%
33,269	1	1.6%
76,083	1	1.6%
470,532	1	1.6%
47,068	1	1.6%
54,746	1	1.6%
20,711	1	1.6%
11,864	1	1.6%
18,042	1	1.6%
224,609	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.3%
2	41	10.5%
1	40	10.2%
3	36	9.2%
5	35	8.9%
4	35	8.9%
6	31	7.9%
0	31	7.9%
7	30	7.7%
8	26	6.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	328	83.7%
Other Punctuation	64	16.3%

Most frequent character per category

Value	Count	Frequency (%)
2	41	12.5%
1	40	12.2%
3	36	11.0%
5	35	10.7%
4	35	10.7%
6	31	9.5%
0	31	9.5%
7	30	9.1%
8	26	7.9%
9	23	7.0%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	392	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.3%
2	41	10.5%
1	40	10.2%
3	36	9.2%
5	35	8.9%
4	35	8.9%
6	31	7.9%
0	31	7.9%
7	30	7.7%
8	26	6.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	392	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.3%
2	41	10.5%
1	40	10.2%
3	36	9.2%
5	35	8.9%
4	35	8.9%
6	31	7.9%
0	31	7.9%
7	30	7.7%
8	26	6.6%

Employed_2014
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

20,597	1
7,999	1
11,028	1
203,323	1
14,639	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.290322581
Min length	5

Characters and Unicode

Total characters	390
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	149,537
2nd row	21,866
3rd row	544,535
4th row	82,128
5th row	34,052

Value	Count	Frequency (%)
20,597	1	1.6%
7,999	1	1.6%
11,028	1	1.6%
203,323	1	1.6%
14,639	1	1.6%
34,052	1	1.6%
41,655	1	1.6%
1,121,072	1	1.6%
82,958	1	1.6%
420,978	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
20,597	1	1.6%
7,999	1	1.6%
11,028	1	1.6%
203,323	1	1.6%
14,639	1	1.6%
34,052	1	1.6%
41,655	1	1.6%
1,121,072	1	1.6%
82,958	1	1.6%
420,978	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.4%
2	47	12.1%
1	45	11.5%
3	41	10.5%
5	34	8.7%
4	32	8.2%
7	31	7.9%
9	26	6.7%
8	26	6.7%
6	25	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	326	83.6%
Other Punctuation	64	16.4%

Most frequent character per category

Value	Count	Frequency (%)
2	47	14.4%
1	45	13.8%
3	41	12.6%
5	34	10.4%
4	32	9.8%
7	31	9.5%
9	26	8.0%
8	26	8.0%
6	25	7.7%
0	19	5.8%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	390	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.4%
2	47	12.1%
1	45	11.5%
3	41	10.5%
5	34	8.7%
4	32	8.2%
7	31	7.9%
9	26	6.7%
8	26	6.7%
6	25	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	390	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.4%
2	47	12.1%
1	45	11.5%
3	41	10.5%
5	34	8.7%
4	32	8.2%
7	31	7.9%
9	26	6.7%
8	26	6.7%
6	25	6.4%

Unemployed_2014
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

2,187	1
988	1
1,713	1
21,152	1
2,146	1
Other values (57)	57

Length

Max length	6
Median length	5
Mean length	4.983870968
Min length	3

Characters and Unicode

Total characters	309
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	7,694
2nd row	1,451
3rd row	59,124
4th row	5,846
5th row	2,566

Value	Count	Frequency (%)
2,187	1	1.6%
988	1	1.6%
1,713	1	1.6%
21,152	1	1.6%
2,146	1	1.6%
9,643	1	1.6%
1,400	1	1.6%
7,569	1	1.6%
12,504	1	1.6%
604	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
2,187	1	1.6%
988	1	1.6%
1,713	1	1.6%
21,152	1	1.6%
2,146	1	1.6%
9,643	1	1.6%
1,400	1	1.6%
7,569	1	1.6%
12,504	1	1.6%
604	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	56	18.1%
1	38	12.3%
4	34	11.0%
5	28	9.1%
2	28	9.1%
3	25	8.1%
6	22	7.1%
7	21	6.8%
9	21	6.8%
0	19	6.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	253	81.9%
Other Punctuation	56	18.1%

Most frequent character per category

Value	Count	Frequency (%)
1	38	15.0%
4	34	13.4%
5	28	11.1%
2	28	11.1%
3	25	9.9%
6	22	8.7%
7	21	8.3%
9	21	8.3%
0	19	7.5%
8	17	6.7%

Value	Count	Frequency (%)
,	56	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	309	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	56	18.1%
1	38	12.3%
4	34	11.0%
5	28	9.1%
2	28	9.1%
3	25	8.1%
6	22	7.1%
7	21	6.8%
9	21	6.8%
0	19	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	309	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	56	18.1%
1	38	12.3%
4	34	11.0%
5	28	9.1%
2	28	9.1%
3	25	8.1%
6	22	7.1%
7	21	6.8%
9	21	6.8%
0	19	6.1%

Unemployment_rate_2014
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	32
Distinct (%)	51.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.327419355
Minimum	4.4
Maximum	9.8
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	4.4
5-th percentile	4.805
Q1	5.6
median	6.25
Q3	6.9
95-th percentile	7.795
Maximum	9.8
Range	5.4
Interquartile range (IQR)	1.3

Descriptive statistics

Standard deviation	1.013380862
Coefficient of variation (CV)	0.160157057
Kurtosis	0.9292265097
Mean	6.327419355
Median Absolute Deviation (MAD)	0.65
Skewness	0.5628300585
Sum	392.3
Variance	1.026940772
Monotocity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
6.1	5	8.1%
6.6	5	8.1%
6.2	3	4.8%
5.4	3	4.8%
5.7	3	4.8%
6.8	3	4.8%
7	3	4.8%
5.8	2	3.2%
6.9	2	3.2%
6.5	2	3.2%
Other values (22)	31	50.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4.4	1	1.6%
4.7	2	3.2%
4.8	1	1.6%
4.9	2	3.2%
5.1	1	1.6%

Value	Count	Frequency (%)
9.8	1	1.6%
8.1	1	1.6%
7.9	1	1.6%
7.8	1	1.6%
7.7	2	3.2%

Civilian_labor_force_2015
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

88,339	1
158,470	1
43,710	1
28,703	1
81,577	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.322580645
Min length	5

Characters and Unicode

Total characters	392
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	158,470
2nd row	20,341
3rd row	605,128
4th row	86,781
5th row	35,212

Value	Count	Frequency (%)
88,339	1	1.6%
158,470	1	1.6%
43,710	1	1.6%
28,703	1	1.6%
81,577	1	1.6%
37,066	1	1.6%
18,377	1	1.6%
23,086	1	1.6%
31,246	1	1.6%
23,384	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
88,339	1	1.6%
158,470	1	1.6%
43,710	1	1.6%
28,703	1	1.6%
81,577	1	1.6%
37,066	1	1.6%
18,377	1	1.6%
23,086	1	1.6%
31,246	1	1.6%
23,384	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.3%
1	47	12.0%
7	42	10.7%
2	42	10.7%
4	37	9.4%
3	36	9.2%
8	33	8.4%
5	27	6.9%
0	25	6.4%
6	22	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	328	83.7%
Other Punctuation	64	16.3%

Most frequent character per category

Value	Count	Frequency (%)
1	47	14.3%
7	42	12.8%
2	42	12.8%
4	37	11.3%
3	36	11.0%
8	33	10.1%
5	27	8.2%
0	25	7.6%
6	22	6.7%
9	17	5.2%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	392	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.3%
1	47	12.0%
7	42	10.7%
2	42	10.7%
4	37	9.4%
3	36	9.2%
8	33	8.4%
5	27	6.9%
0	25	6.4%
6	22	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	392	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.3%
1	47	12.0%
7	42	10.7%
2	42	10.7%
4	37	9.4%
3	36	9.2%
8	33	8.4%
5	27	6.9%
0	25	6.4%
6	22	5.6%

Employed_2015
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

27,215	1
206,436	1
864,614	1
29,605	1
7,800	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.290322581
Min length	5

Characters and Unicode

Total characters	390
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	151,584
2nd row	19,019
3rd row	558,075
4th row	81,599
5th row	32,998

Value	Count	Frequency (%)
27,215	1	1.6%
206,436	1	1.6%
864,614	1	1.6%
29,605	1	1.6%
7,800	1	1.6%
32,998	1	1.6%
18,328	1	1.6%
169,670	1	1.6%
1,097,706	1	1.6%
81,599	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
27,215	1	1.6%
206,436	1	1.6%
864,614	1	1.6%
29,605	1	1.6%
7,800	1	1.6%
32,998	1	1.6%
18,328	1	1.6%
169,670	1	1.6%
1,097,706	1	1.6%
81,599	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.4%
1	54	13.8%
2	36	9.2%
8	34	8.7%
4	32	8.2%
0	31	7.9%
6	31	7.9%
7	30	7.7%
5	29	7.4%
9	26	6.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	326	83.6%
Other Punctuation	64	16.4%

Most frequent character per category

Value	Count	Frequency (%)
1	54	16.6%
2	36	11.0%
8	34	10.4%
4	32	9.8%
0	31	9.5%
6	31	9.5%
7	30	9.2%
5	29	8.9%
9	26	8.0%
3	23	7.1%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	390	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.4%
1	54	13.8%
2	36	9.2%
8	34	8.7%
4	32	8.2%
0	31	7.9%
6	31	7.9%
7	30	7.7%
5	29	7.4%
9	26	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	390	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.4%
1	54	13.8%
2	36	9.2%
8	34	8.7%
4	32	8.2%
0	31	7.9%
6	31	7.9%
7	30	7.7%
5	29	7.4%
9	26	6.7%

Unemployed_2015
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

3,064	1
21,709	1
2,157	1
2,090	1
5,443	1
Other values (57)	57

Length

Max length	6
Median length	5
Mean length	4.983870968
Min length	3

Characters and Unicode

Total characters	309
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	6,886
2nd row	1,322
3rd row	47,053
4th row	5,182
5th row	2,214

Value	Count	Frequency (%)
3,064	1	1.6%
21,709	1	1.6%
2,157	1	1.6%
2,090	1	1.6%
5,443	1	1.6%
1,771	1	1.6%
2,753	1	1.6%
2,216	1	1.6%
1,978	1	1.6%
44,235	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
3,064	1	1.6%
21,709	1	1.6%
2,157	1	1.6%
2,090	1	1.6%
5,443	1	1.6%
1,771	1	1.6%
2,753	1	1.6%
2,216	1	1.6%
1,978	1	1.6%
44,235	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	56	18.1%
1	48	15.5%
2	31	10.0%
8	25	8.1%
6	24	7.8%
4	24	7.8%
3	22	7.1%
5	22	7.1%
9	20	6.5%
7	19	6.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	253	81.9%
Other Punctuation	56	18.1%

Most frequent character per category

Value	Count	Frequency (%)
1	48	19.0%
2	31	12.3%
8	25	9.9%
6	24	9.5%
4	24	9.5%
3	22	8.7%
5	22	8.7%
9	20	7.9%
7	19	7.5%
0	18	7.1%

Value	Count	Frequency (%)
,	56	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	309	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	56	18.1%
1	48	15.5%
2	31	10.0%
8	25	8.1%
6	24	7.8%
4	24	7.8%
3	22	7.1%
5	22	7.1%
9	20	6.5%
7	19	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	309	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	56	18.1%
1	48	15.5%
2	31	10.0%
8	25	8.1%
6	24	7.8%
4	24	7.8%
3	22	7.1%
5	22	7.1%
9	20	6.5%
7	19	6.1%

Unemployment_rate_2015
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

5.0	24
6.0	22
7.0	9
4.0	6
8.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	186
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.6%

Sample

1st row	4.0
2nd row	7.0
3rd row	8.0
4th row	6.0
5th row	6.0

Value	Count	Frequency (%)
5.0	24	38.7%
6.0	22	35.5%
7.0	9	14.5%
4.0	6	9.7%
8.0	1	1.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
5.0	24	38.7%
6.0	22	35.5%
7.0	9	14.5%
4.0	6	9.7%
8.0	1	1.6%

Most occurring characters

Value	Count	Frequency (%)
.	62	33.3%
0	62	33.3%
5	24	12.9%
6	22	11.8%
7	9	4.8%
4	6	3.2%
8	1	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	124	66.7%
Other Punctuation	62	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	62	50.0%
5	24	19.4%
6	22	17.7%
7	9	7.3%
4	6	4.8%
8	1	0.8%

Value	Count	Frequency (%)
.	62	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	186	100.0%

Most frequent character per script

Value	Count	Frequency (%)
.	62	33.3%
0	62	33.3%
5	24	12.9%
6	22	11.8%
7	9	4.8%
4	6	3.2%
8	1	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	186	100.0%

Most frequent character per block

Value	Count	Frequency (%)
.	62	33.3%
0	62	33.3%
5	24	12.9%
6	22	11.8%
7	9	4.8%
4	6	3.2%
8	1	0.5%

Civilian_labor_force_2016
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

50,674	1
18,102	1
31,460	1
11,739	1
55,054	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.322580645
Min length	5

Characters and Unicode

Total characters	392
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	158,435
2nd row	20,052
3rd row	607,295
4th row	85,851
5th row	34,849

Value	Count	Frequency (%)
50,674	1	1.6%
18,102	1	1.6%
31,460	1	1.6%
11,739	1	1.6%
55,054	1	1.6%
43,152	1	1.6%
220,823	1	1.6%
23,010	1	1.6%
152,479	1	1.6%
2,363	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
50,674	1	1.6%
18,102	1	1.6%
31,460	1	1.6%
11,739	1	1.6%
55,054	1	1.6%
43,152	1	1.6%
220,823	1	1.6%
23,010	1	1.6%
152,479	1	1.6%
2,363	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.3%
1	53	13.5%
2	43	11.0%
3	38	9.7%
5	32	8.2%
4	31	7.9%
0	28	7.1%
9	28	7.1%
8	27	6.9%
7	25	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	328	83.7%
Other Punctuation	64	16.3%

Most frequent character per category

Value	Count	Frequency (%)
1	53	16.2%
2	43	13.1%
3	38	11.6%
5	32	9.8%
4	31	9.5%
0	28	8.5%
9	28	8.5%
8	27	8.2%
7	25	7.6%
6	23	7.0%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	392	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.3%
1	53	13.5%
2	43	11.0%
3	38	9.7%
5	32	8.2%
4	31	7.9%
0	28	7.1%
9	28	7.1%
8	27	6.9%
7	25	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	392	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.3%
1	53	13.5%
2	43	11.0%
3	38	9.7%
5	32	8.2%
4	31	7.9%
0	28	7.1%
9	28	7.1%
8	27	6.9%
7	25	6.4%

Employed_2016
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct	61
Distinct (%)	98.4%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

21,673	2
457,221	1
34,131	1
33,877	1
41,789	1
Other values (56)	56

Length

Max length	9
Median length	6
Mean length	6.290322581
Min length	5

Characters and Unicode

Total characters	390
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	60 ?
Unique (%)	96.8%

Sample

1st row	152,009
2nd row	18,786
3rd row	563,965
4th row	81,196
5th row	32,768

Value	Count	Frequency (%)
21,673	2	3.2%
457,221	1	1.6%
34,131	1	1.6%
33,877	1	1.6%
41,789	1	1.6%
14,747	1	1.6%
740,123	1	1.6%
19,521	1	1.6%
18,666	1	1.6%
171,135	1	1.6%
Other values (51)	51	82.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
21,673	2	3.2%
457,221	1	1.6%
34,131	1	1.6%
33,877	1	1.6%
41,789	1	1.6%
14,747	1	1.6%
740,123	1	1.6%
19,521	1	1.6%
18,666	1	1.6%
171,135	1	1.6%
Other values (51)	51	82.3%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.4%
1	57	14.6%
2	42	10.8%
7	36	9.2%
6	33	8.5%
3	33	8.5%
8	30	7.7%
4	28	7.2%
9	26	6.7%
0	21	5.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	326	83.6%
Other Punctuation	64	16.4%

Most frequent character per category

Value	Count	Frequency (%)
1	57	17.5%
2	42	12.9%
7	36	11.0%
6	33	10.1%
3	33	10.1%
8	30	9.2%
4	28	8.6%
9	26	8.0%
0	21	6.4%
5	20	6.1%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	390	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.4%
1	57	14.6%
2	42	10.8%
7	36	9.2%
6	33	8.5%
3	33	8.5%
8	30	7.7%
4	28	7.2%
9	26	6.7%
0	21	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	390	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.4%
1	57	14.6%
2	42	10.8%
7	36	9.2%
6	33	8.5%
3	33	8.5%
8	30	7.7%
4	28	7.2%
9	26	6.7%
0	21	5.4%

Unemployed_2016
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

3,439	1
1,328	1
52,705	1
17,065	1
1,309	1
Other values (57)	57

Length

Max length	6
Median length	5
Mean length	4.903225806
Min length	3

Characters and Unicode

Total characters	304
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	6,426
2nd row	1,266
3rd row	43,330
4th row	4,655
5th row	2,081

Value	Count	Frequency (%)
3,439	1	1.6%
1,328	1	1.6%
52,705	1	1.6%
17,065	1	1.6%
1,309	1	1.6%
41,733	1	1.6%
21,913	1	1.6%
1,363	1	1.6%
1,682	1	1.6%
1,275	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
3,439	1	1.6%
1,328	1	1.6%
52,705	1	1.6%
17,065	1	1.6%
1,309	1	1.6%
41,733	1	1.6%
21,913	1	1.6%
1,363	1	1.6%
1,682	1	1.6%
1,275	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	54	17.8%
1	47	15.5%
2	31	10.2%
3	29	9.5%
5	25	8.2%
8	23	7.6%
7	23	7.6%
4	20	6.6%
6	19	6.2%
9	18	5.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	250	82.2%
Other Punctuation	54	17.8%

Most frequent character per category

Value	Count	Frequency (%)
1	47	18.8%
2	31	12.4%
3	29	11.6%
5	25	10.0%
8	23	9.2%
7	23	9.2%
4	20	8.0%
6	19	7.6%
9	18	7.2%
0	15	6.0%

Value	Count	Frequency (%)
,	54	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	304	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	54	17.8%
1	47	15.5%
2	31	10.2%
3	29	9.5%
5	25	8.2%
8	23	7.6%
7	23	7.6%
4	20	6.6%
6	19	6.2%
9	18	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	304	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	54	17.8%
1	47	15.5%
2	31	10.2%
3	29	9.5%
5	25	8.2%
8	23	7.6%
7	23	7.6%
4	20	6.6%
6	19	6.2%
9	18	5.9%

Unemployment_rate_2016
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	28
Distinct (%)	45.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.114516129
Minimum	3.7
Maximum	7.1
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	3.7
5-th percentile	4.005
Q1	4.425
median	5.1
Q3	5.7
95-th percentile	6.5
Maximum	7.1
Range	3.4
Interquartile range (IQR)	1.275

Descriptive statistics

Standard deviation	0.7877851863
Coefficient of variation (CV)	0.1540292701
Kurtosis	-0.4511505097
Mean	5.114516129
Median Absolute Deviation (MAD)	0.6
Skewness	0.3689465472
Sum	317.1
Variance	0.6206054997
Monotocity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
5.7	6	9.7%
4.3	5	8.1%
5.3	5	8.1%
4.8	3	4.8%
4.4	3	4.8%
4.9	3	4.8%
5.4	3	4.8%
4.6	3	4.8%
5.1	3	4.8%
5.8	3	4.8%
Other values (18)	25	40.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3.7	1	1.6%
3.8	1	1.6%
3.9	1	1.6%
4	1	1.6%
4.1	1	1.6%

Value	Count	Frequency (%)
7.1	1	1.6%
6.7	1	1.6%
6.6	1	1.6%
6.5	2	3.2%
6.3	1	1.6%

Civilian_labor_force_2017
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

17,163	1
42,668	1
180,708	1
143,315	1
31,841	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.306451613
Min length	5

Characters and Unicode

Total characters	391
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	158,138
2nd row	19,695
3rd row	605,491
4th row	84,531
5th row	34,282

Value	Count	Frequency (%)
17,163	1	1.6%
42,668	1	1.6%
180,708	1	1.6%
143,315	1	1.6%
31,841	1	1.6%
50,861	1	1.6%
31,107	1	1.6%
219,720	1	1.6%
29,531	1	1.6%
1,209,284	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
17,163	1	1.6%
42,668	1	1.6%
180,708	1	1.6%
143,315	1	1.6%
31,841	1	1.6%
50,861	1	1.6%
31,107	1	1.6%
219,720	1	1.6%
29,531	1	1.6%
1,209,284	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.4%
1	52	13.3%
2	46	11.8%
3	36	9.2%
9	32	8.2%
5	31	7.9%
8	27	6.9%
6	27	6.9%
4	27	6.9%
7	25	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	327	83.6%
Other Punctuation	64	16.4%

Most frequent character per category

Value	Count	Frequency (%)
1	52	15.9%
2	46	14.1%
3	36	11.0%
9	32	9.8%
5	31	9.5%
8	27	8.3%
6	27	8.3%
4	27	8.3%
7	25	7.6%
0	24	7.3%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	391	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.4%
1	52	13.3%
2	46	11.8%
3	36	9.2%
9	32	8.2%
5	31	7.9%
8	27	6.9%
6	27	6.9%
4	27	6.9%
7	25	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	391	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.4%
1	52	13.3%
2	46	11.8%
3	36	9.2%
9	32	8.2%
5	31	7.9%
8	27	6.9%
6	27	6.9%
4	27	6.9%
7	25	6.4%

Employed_2017
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

28,123	1
52,119	1
79,840	1
459,137	1
40,431	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.290322581
Min length	5

Characters and Unicode

Total characters	390
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	151,479
2nd row	18,395
3rd row	567,233
4th row	79,840
5th row	32,162

Value	Count	Frequency (%)
28,123	1	1.6%
52,119	1	1.6%
79,840	1	1.6%
459,137	1	1.6%
40,431	1	1.6%
13,864	1	1.6%
146,878	1	1.6%
741,944	1	1.6%
47,752	1	1.6%
1,152,039	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
28,123	1	1.6%
52,119	1	1.6%
79,840	1	1.6%
459,137	1	1.6%
40,431	1	1.6%
13,864	1	1.6%
146,878	1	1.6%
741,944	1	1.6%
47,752	1	1.6%
1,152,039	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.4%
1	61	15.6%
2	41	10.5%
3	40	10.3%
4	37	9.5%
7	29	7.4%
9	28	7.2%
6	25	6.4%
0	25	6.4%
5	20	5.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	326	83.6%
Other Punctuation	64	16.4%

Most frequent character per category

Value	Count	Frequency (%)
1	61	18.7%
2	41	12.6%
3	40	12.3%
4	37	11.3%
7	29	8.9%
9	28	8.6%
6	25	7.7%
0	25	7.7%
5	20	6.1%
8	20	6.1%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	390	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.4%
1	61	15.6%
2	41	10.5%
3	40	10.3%
4	37	9.5%
7	29	7.4%
9	28	7.2%
6	25	6.4%
0	25	6.4%
5	20	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	390	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.4%
1	61	15.6%
2	41	10.5%
3	40	10.3%
4	37	9.5%
7	29	7.4%
9	28	7.2%
6	25	6.4%
0	25	6.4%
5	20	5.1%

Unemployed_2017
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

1,300	1
2,120	1
5,070	1
6,142	1
4,687	1
Other values (57)	57

Length

Max length	6
Median length	5
Mean length	4.951612903
Min length	3

Characters and Unicode

Total characters	307
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	6,659
2nd row	1,300
3rd row	38,258
4th row	4,691
5th row	2,120

Value	Count	Frequency (%)
1,300	1	1.6%
2,120	1	1.6%
5,070	1	1.6%
6,142	1	1.6%
4,687	1	1.6%
6,659	1	1.6%
1,900	1	1.6%
171	1	1.6%
937	1	1.6%
1,176	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
1,300	1	1.6%
2,120	1	1.6%
5,070	1	1.6%
6,142	1	1.6%
4,687	1	1.6%
6,659	1	1.6%
1,900	1	1.6%
171	1	1.6%
937	1	1.6%
1,176	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	55	17.9%
1	48	15.6%
3	30	9.8%
2	27	8.8%
0	25	8.1%
4	24	7.8%
8	23	7.5%
6	22	7.2%
7	21	6.8%
5	17	5.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	252	82.1%
Other Punctuation	55	17.9%

Most frequent character per category

Value	Count	Frequency (%)
1	48	19.0%
3	30	11.9%
2	27	10.7%
0	25	9.9%
4	24	9.5%
8	23	9.1%
6	22	8.7%
7	21	8.3%
5	17	6.7%
9	15	6.0%

Value	Count	Frequency (%)
,	55	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	307	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	55	17.9%
1	48	15.6%
3	30	9.8%
2	27	8.8%
0	25	8.1%
4	24	7.8%
8	23	7.5%
6	22	7.2%
7	21	6.8%
5	17	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	307	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	55	17.9%
1	48	15.6%
3	30	9.8%
2	27	8.8%
0	25	8.1%
4	24	7.8%
8	23	7.5%
6	22	7.2%
7	21	6.8%
5	17	5.5%

Unemployment_rate_2017
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	27
Distinct (%)	43.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.182258065
Minimum	3.8
Maximum	7.4
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	3.8
5-th percentile	4.1
Q1	4.5
median	5.05
Q3	5.7
95-th percentile	6.595
Maximum	7.4
Range	3.6
Interquartile range (IQR)	1.2

Descriptive statistics

Standard deviation	0.807246726
Coefficient of variation (CV)	0.1557712325
Kurtosis	-0.3760938235
Mean	5.182258065
Median Absolute Deviation (MAD)	0.55
Skewness	0.4876480084
Sum	321.3
Variance	0.6516472766
Monotocity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
4.5	7	11.3%
5.5	6	9.7%
5	5	8.1%
4.7	3	4.8%
5.7	3	4.8%
4.3	3	4.8%
4.1	3	4.8%
5.8	3	4.8%
5.3	3	4.8%
4.2	2	3.2%
Other values (17)	24	38.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3.8	1	1.6%
4	1	1.6%
4.1	3	4.8%
4.2	2	3.2%
4.3	3	4.8%

Value	Count	Frequency (%)
7.4	1	1.6%
6.7	1	1.6%
6.6	2	3.2%
6.5	2	3.2%
6.3	1	1.6%

Civilian_labor_force_2018
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

99,042	1
42,613	1
22,426	1
482,058	1
183,560	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.306451613
Min length	5

Characters and Unicode

Total characters	391
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	157,520
2nd row	19,481
3rd row	599,929
4th row	84,140
5th row	34,042

Value	Count	Frequency (%)
99,042	1	1.6%
42,613	1	1.6%
22,426	1	1.6%
482,058	1	1.6%
183,560	1	1.6%
22,812	1	1.6%
222,771	1	1.6%
1,141,830	1	1.6%
43,382	1	1.6%
35,977	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
99,042	1	1.6%
42,613	1	1.6%
22,426	1	1.6%
482,058	1	1.6%
183,560	1	1.6%
22,812	1	1.6%
222,771	1	1.6%
1,141,830	1	1.6%
43,382	1	1.6%
35,977	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.4%
1	51	13.0%
2	48	12.3%
4	33	8.4%
3	31	7.9%
7	29	7.4%
9	29	7.4%
6	28	7.2%
8	27	6.9%
5	26	6.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	327	83.6%
Other Punctuation	64	16.4%

Most frequent character per category

Value	Count	Frequency (%)
1	51	15.6%
2	48	14.7%
4	33	10.1%
3	31	9.5%
7	29	8.9%
9	29	8.9%
6	28	8.6%
8	27	8.3%
5	26	8.0%
0	25	7.6%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	391	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.4%
1	51	13.0%
2	48	12.3%
4	33	8.4%
3	31	7.9%
7	29	7.4%
9	29	7.4%
6	28	7.2%
8	27	6.9%
5	26	6.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	391	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.4%
1	51	13.0%
2	48	12.3%
4	33	8.4%
3	31	7.9%
7	29	7.4%
9	29	7.4%
6	28	7.2%
8	27	6.9%
5	26	6.6%

Employed_2018
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

21,285	1
73,107	1
48,205	1
21,869	1
16,222	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.290322581
Min length	5

Characters and Unicode

Total characters	390
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	151,688
2nd row	18,390
3rd row	565,365
4th row	80,039
5th row	32,225

Value	Count	Frequency (%)
21,285	1	1.6%
73,107	1	1.6%
48,205	1	1.6%
21,869	1	1.6%
16,222	1	1.6%
17,135	1	1.6%
422,609	1	1.6%
84,817	1	1.6%
681,686	1	1.6%
28,491	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
21,285	1	1.6%
73,107	1	1.6%
48,205	1	1.6%
21,869	1	1.6%
16,222	1	1.6%
17,135	1	1.6%
422,609	1	1.6%
84,817	1	1.6%
681,686	1	1.6%
28,491	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.4%
1	53	13.6%
2	34	8.7%
0	33	8.5%
3	32	8.2%
6	31	7.9%
4	31	7.9%
5	30	7.7%
8	29	7.4%
9	27	6.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	326	83.6%
Other Punctuation	64	16.4%

Most frequent character per category

Value	Count	Frequency (%)
1	53	16.3%
2	34	10.4%
0	33	10.1%
3	32	9.8%
6	31	9.5%
4	31	9.5%
5	30	9.2%
8	29	8.9%
9	27	8.3%
7	26	8.0%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	390	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.4%
1	53	13.6%
2	34	8.7%
0	33	8.5%
3	32	8.2%
6	31	7.9%
4	31	7.9%
5	30	7.7%
8	29	7.4%
9	27	6.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	390	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.4%
1	53	13.6%
2	34	8.7%
0	33	8.5%
3	32	8.2%
6	31	7.9%
4	31	7.9%
5	30	7.7%
8	29	7.4%
9	27	6.9%

Unemployed_2018
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

2,760	1
29,873	1
34,089	1
1,563	1
445	1
Other values (57)	57

Length

Max length	6
Median length	5
Mean length	4.758064516
Min length	3

Characters and Unicode

Total characters	295
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	5,832
2nd row	1,091
3rd row	34,564
4th row	4,101
5th row	1,817

Value	Count	Frequency (%)
2,760	1	1.6%
29,873	1	1.6%
34,089	1	1.6%
1,563	1	1.6%
445	1	1.6%
941	1	1.6%
999	1	1.6%
1,327	1	1.6%
834	1	1.6%
1,091	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
2,760	1	1.6%
29,873	1	1.6%
34,089	1	1.6%
1,563	1	1.6%
445	1	1.6%
941	1	1.6%
999	1	1.6%
1,327	1	1.6%
834	1	1.6%
1,091	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
1	51	17.3%
,	50	16.9%
4	29	9.8%
2	26	8.8%
8	25	8.5%
5	21	7.1%
6	21	7.1%
3	19	6.4%
9	19	6.4%
0	17	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	245	83.1%
Other Punctuation	50	16.9%

Most frequent character per category

Value	Count	Frequency (%)
1	51	20.8%
4	29	11.8%
2	26	10.6%
8	25	10.2%
5	21	8.6%
6	21	8.6%
3	19	7.8%
9	19	7.8%
0	17	6.9%
7	17	6.9%

Value	Count	Frequency (%)
,	50	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	295	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	51	17.3%
,	50	16.9%
4	29	9.8%
2	26	8.8%
8	25	8.5%
5	21	7.1%
6	21	7.1%
3	19	6.4%
9	19	6.4%
0	17	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	295	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	51	17.3%
,	50	16.9%
4	29	9.8%
2	26	8.8%
8	25	8.5%
5	21	7.1%
6	21	7.1%
3	19	6.4%
9	19	6.4%
0	17	5.8%

Unemployment_rate_2018
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	24
Distinct (%)	38.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.503225806
Minimum	3.3
Maximum	6.9
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	3.3
5-th percentile	3.605
Q1	3.9
median	4.4
Q3	4.975
95-th percentile	5.6
Maximum	6.9
Range	3.6
Interquartile range (IQR)	1.075

Descriptive statistics

Standard deviation	0.7045444388
Coefficient of variation (CV)	0.156453278
Kurtosis	0.7370971347
Mean	4.503225806
Median Absolute Deviation (MAD)	0.5
Skewness	0.711309404
Sum	279.2
Variance	0.4963828662
Monotocity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
3.9	6	9.7%
3.7	6	9.7%
4.8	4	6.5%
4.4	4	6.5%
5.6	4	6.5%
5.1	4	6.5%
4.2	3	4.8%
4.9	3	4.8%
4.3	3	4.8%
4.6	3	4.8%
Other values (14)	22	35.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3.3	1	1.6%
3.5	2	3.2%
3.6	1	1.6%
3.7	6	9.7%
3.8	2	3.2%

Value	Count	Frequency (%)
6.9	1	1.6%
5.8	1	1.6%
5.6	4	6.5%
5.5	1	1.6%
5.3	1	1.6%

Civilian_labor_force_2019
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

19,441	1
20,271	1
14,637	1
22,306	1
18,131	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.306451613
Min length	5

Characters and Unicode

Total characters	391
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	157,444
2nd row	19,441
3rd row	597,677
4th row	83,444
5th row	33,884

Value	Count	Frequency (%)
19,441	1	1.6%
20,271	1	1.6%
14,637	1	1.6%
22,306	1	1.6%
18,131	1	1.6%
54,550	1	1.6%
76,028	1	1.6%
52,960	1	1.6%
17,567	1	1.6%
31,181	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
19,441	1	1.6%
20,271	1	1.6%
14,637	1	1.6%
22,306	1	1.6%
18,131	1	1.6%
54,550	1	1.6%
76,028	1	1.6%
52,960	1	1.6%
17,567	1	1.6%
31,181	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.4%
1	53	13.6%
2	43	11.0%
3	35	9.0%
4	33	8.4%
9	30	7.7%
8	30	7.7%
6	28	7.2%
5	26	6.6%
7	25	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	327	83.6%
Other Punctuation	64	16.4%

Most frequent character per category

Value	Count	Frequency (%)
1	53	16.2%
2	43	13.1%
3	35	10.7%
4	33	10.1%
9	30	9.2%
8	30	9.2%
6	28	8.6%
5	26	8.0%
7	25	7.6%
0	24	7.3%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	391	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.4%
1	53	13.6%
2	43	11.0%
3	35	9.0%
4	33	8.4%
9	30	7.7%
8	30	7.7%
6	28	7.2%
5	26	6.6%
7	25	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	391	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.4%
1	53	13.6%
2	43	11.0%
3	35	9.0%
4	33	8.4%
9	30	7.7%
8	30	7.7%
6	28	7.2%
5	26	6.6%
7	25	6.4%

Employed_2019
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

29,423	1
466,158	1
28,564	1
79,488	1
96,839	1
Other values (57)	57

Length

Max length	9
Median length	6
Mean length	6.290322581
Min length	5

Characters and Unicode

Total characters	390
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	151,699
2nd row	18,380
3rd row	565,642
4th row	79,488
5th row	32,172

Value	Count	Frequency (%)
29,423	1	1.6%
466,158	1	1.6%
28,564	1	1.6%
79,488	1	1.6%
96,839	1	1.6%
41,470	1	1.6%
93,887	1	1.6%
51,976	1	1.6%
40,902	1	1.6%
13,954	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
29,423	1	1.6%
466,158	1	1.6%
28,564	1	1.6%
79,488	1	1.6%
96,839	1	1.6%
41,470	1	1.6%
93,887	1	1.6%
51,976	1	1.6%
40,902	1	1.6%
13,954	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	64	16.4%
1	48	12.3%
4	34	8.7%
7	34	8.7%
6	33	8.5%
3	32	8.2%
2	32	8.2%
9	31	7.9%
8	29	7.4%
0	29	7.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	326	83.6%
Other Punctuation	64	16.4%

Most frequent character per category

Value	Count	Frequency (%)
1	48	14.7%
4	34	10.4%
7	34	10.4%
6	33	10.1%
3	32	9.8%
2	32	9.8%
9	31	9.5%
8	29	8.9%
0	29	8.9%
5	24	7.4%

Value	Count	Frequency (%)
,	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	390	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	64	16.4%
1	48	12.3%
4	34	8.7%
7	34	8.7%
6	33	8.5%
3	32	8.2%
2	32	8.2%
9	31	7.9%
8	29	7.4%
0	29	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	390	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	64	16.4%
1	48	12.3%
4	34	8.7%
7	34	8.7%
6	33	8.5%
3	32	8.2%
2	32	8.2%
9	31	7.9%
8	29	7.4%
0	29	7.4%

Unemployed_2019
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct	61
Distinct (%)	98.4%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

1,133	2
32,035	1
31,973	1
24,392	1
913	1
Other values (56)	56

Length

Max length	6
Median length	5
Mean length	4.693548387
Min length	3

Characters and Unicode

Total characters	291
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	60 ?
Unique (%)	96.8%

Sample

1st row	5,745
2nd row	1,061
3rd row	32,035
4th row	3,956
5th row	1,712

Value	Count	Frequency (%)
1,133	2	3.2%
32,035	1	1.6%
31,973	1	1.6%
24,392	1	1.6%
913	1	1.6%
1,948	1	1.6%
1,765	1	1.6%
1,541	1	1.6%
1,794	1	1.6%
133	1	1.6%
Other values (51)	51	82.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
1,133	2	3.2%
32,035	1	1.6%
31,973	1	1.6%
24,392	1	1.6%
913	1	1.6%
1,948	1	1.6%
1,765	1	1.6%
1,541	1	1.6%
1,794	1	1.6%
133	1	1.6%
Other values (51)	51	82.3%

Most occurring characters

Value	Count	Frequency (%)
,	48	16.5%
1	46	15.8%
3	32	11.0%
4	27	9.3%
2	26	8.9%
9	23	7.9%
8	22	7.6%
5	21	7.2%
7	19	6.5%
0	14	4.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	243	83.5%
Other Punctuation	48	16.5%

Most frequent character per category

Value	Count	Frequency (%)
1	46	18.9%
3	32	13.2%
4	27	11.1%
2	26	10.7%
9	23	9.5%
8	22	9.1%
5	21	8.6%
7	19	7.8%
0	14	5.8%
6	13	5.3%

Value	Count	Frequency (%)
,	48	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	291	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	48	16.5%
1	46	15.8%
3	32	11.0%
4	27	9.3%
2	26	8.9%
9	23	7.9%
8	22	7.6%
5	21	7.2%
7	19	6.5%
0	14	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	291	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	48	16.5%
1	46	15.8%
3	32	11.0%
4	27	9.3%
2	26	8.9%
9	23	7.9%
8	22	7.6%
5	21	7.2%
7	19	6.5%
0	14	4.8%

Unemployment_rate_2019
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	22
Distinct (%)	35.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.338709677
Minimum	3.2
Maximum	6
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	3.2
5-th percentile	3.5
Q1	3.8
median	4.25
Q3	4.7
95-th percentile	5.5
Maximum	6
Range	2.8
Interquartile range (IQR)	0.9

Descriptive statistics

Standard deviation	0.6479108517
Coefficient of variation (CV)	0.1493326127
Kurtosis	-0.4611601334
Mean	4.338709677
Median Absolute Deviation (MAD)	0.45
Skewness	0.4943146873
Sum	269
Variance	0.4197884717
Monotocity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
4.7	7	11.3%
3.8	6	9.7%
4.2	4	6.5%
3.9	4	6.5%
3.6	4	6.5%
4.1	3	4.8%
3.7	3	4.8%
5.5	3	4.8%
4.9	3	4.8%
4.3	3	4.8%
Other values (12)	22	35.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3.2	1	1.6%
3.4	2	3.2%
3.5	2	3.2%
3.6	4	6.5%
3.7	3	4.8%

Value	Count	Frequency (%)
6	1	1.6%
5.6	1	1.6%
5.5	3	4.8%
5.4	2	3.2%
5.1	2	3.2%

Median_Household_Income_2018
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	62
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	624.0 B

50,928	1
62,930	1
54,862	1
53,745	1
55,913	1
Other values (57)	57

Length

Max length	7
Median length	6
Mean length	6.048387097
Min length	6

Characters and Unicode

Total characters	375
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	100.0%

Sample

1st row	64,536
2nd row	46,262
3rd row	38,566
4th row	50,928
5th row	48,017

Value	Count	Frequency (%)
50,928	1	1.6%
62,930	1	1.6%
54,862	1	1.6%
53,745	1	1.6%
55,913	1	1.6%
54,096	1	1.6%
79,719	1	1.6%
51,985	1	1.6%
79,604	1	1.6%
50,312	1	1.6%
Other values (52)	52	83.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
50,928	1	1.6%
62,930	1	1.6%
54,862	1	1.6%
53,745	1	1.6%
55,913	1	1.6%
54,096	1	1.6%
79,719	1	1.6%
51,985	1	1.6%
79,604	1	1.6%
50,312	1	1.6%
Other values (52)	52	83.9%

Most occurring characters

Value	Count	Frequency (%)
,	62	16.5%
5	55	14.7%
6	35	9.3%
0	32	8.5%
1	32	8.5%
8	29	7.7%
4	28	7.5%
9	27	7.2%
7	27	7.2%
3	24	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	313	83.5%
Other Punctuation	62	16.5%

Most frequent character per category

Value	Count	Frequency (%)
5	55	17.6%
6	35	11.2%
0	32	10.2%
1	32	10.2%
8	29	9.3%
4	28	8.9%
9	27	8.6%
7	27	8.6%
3	24	7.7%
2	24	7.7%

Value	Count	Frequency (%)
,	62	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	375	100.0%

Most frequent character per script

Value	Count	Frequency (%)
,	62	16.5%
5	55	14.7%
6	35	9.3%
0	32	8.5%
1	32	8.5%
8	29	7.7%
4	28	7.5%
9	27	7.2%
7	27	7.2%
3	24	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	375	100.0%

Most frequent character per block

Value	Count	Frequency (%)
,	62	16.5%
5	55	14.7%
6	35	9.3%
0	32	8.5%
1	32	8.5%
8	29	7.7%
4	28	7.5%
9	27	7.2%
7	27	7.2%
3	24	6.4%

Med_HH_Income_Percent_of_State_Total_2018
Real number (ℝ_≥0)

Distinct	61
Distinct (%)	98.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	90.00806452
Minimum	57
Maximum	170.4
Zeros	0
Zeros (%)	0.0%
Memory size	624.0 B

Quantile statistics

Minimum	57
5-th percentile	68.48
Q1	77.725
median	83
Q3	93.15
95-th percentile	139.29
Maximum	170.4
Range	113.4
Interquartile range (IQR)	15.425

Descriptive statistics

Standard deviation	22.06345765
Coefficient of variation (CV)	0.2451275646
Kurtosis	3.065665584
Mean	90.00806452
Median Absolute Deviation (MAD)	7.1
Skewness	1.750988956
Sum	5580.5
Variance	486.7961634
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
77.8	2	3.2%
64.7	1	1.6%
83.3	1	1.6%
77.7	1	1.6%
78.3	1	1.6%
75.3	1	1.6%
68.4	1	1.6%
147.9	1	1.6%
87.2	1	1.6%
80.3	1	1.6%
Other values (51)	51	82.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
57	1	1.6%
64.7	1	1.6%
67.5	1	1.6%
68.4	1	1.6%
70	1	1.6%

Value	Count	Frequency (%)
170.4	1	1.6%
149.1	1	1.6%
147.9	1	1.6%
139.7	1	1.6%
131.5	1	1.6%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	FIPStxt	Stabr	area_name	Rural_urban_continuum_code_2013	Urban_influence_code_2013	Metro_2013	Civilian_labor_force_2000	Employed_2000	Unemployed_2000	Unemployment_rate_2000	Civilian_labor_force_2001	Employed_2001	Unemployed_2001	Unemployment_rate_2001	Civilian_labor_force_2002	Employed_2002	Unemployed_2002	Unemployment_rate_2002	Civilian_labor_force_2003	Employed_2003	Unemployed_2003	Unemployment_rate_2003	Civilian_labor_force_2004	Employed_2004	Unemployed_2004	Unemployment_rate_2004	Civilian_labor_force_2005	Employed_2005	Unemployed_2005	Unemployment_rate_2005	Civilian_labor_force_2006	Employed_2006	Unemployed_2006	Unemployment_rate_2006	Civilian_labor_force_2007	Employed_2007	Unemployed_2007	Unemployment_rate_2007	Civilian_labor_force_2008	Employed_2008	Unemployed_2008	Unemployment_rate_2008	Civilian_labor_force_2009	Employed_2009	Unemployed_2009	Unemployment_rate_2009	Civilian_labor_force_2010	Employed_2010	Unemployed_2010	Unemployment_rate_2010	Civilian_labor_force_2011	Employed_2011	Unemployed_2011	Unemployment_rate_2011	Civilian_labor_force_2012	Employed_2012	Unemployed_2012	Unemployment_rate_2012	Civilian_labor_force_2013	Employed_2013	Unemployed_2013	Unemployment_rate_2013	Civilian_labor_force_2014	Employed_2014	Unemployed_2014	Unemployment_rate_2014	Civilian_labor_force_2015	Employed_2015	Unemployed_2015	Unemployment_rate_2015	Civilian_labor_force_2016	Employed_2016	Unemployed_2016	Unemployment_rate_2016	Civilian_labor_force_2017	Employed_2017	Unemployed_2017	Unemployment_rate_2017	Civilian_labor_force_2018	Employed_2018	Unemployed_2018	Unemployment_rate_2018	Civilian_labor_force_2019	Employed_2019	Unemployed_2019	Unemployment_rate_2019	Median_Household_Income_2018	Med_HH_Income_Percent_of_State_Total_2018
0	1864	36001	NY	Albany County, NY	2.0	2.0	1.0	153,997	148,813	5,184	3.4	154,732	149,564	5,168	3.3	157,694	151,536	6,158	3.9	157,860	151,200	6,660	4.2	158,668	152,045	6,623	4.2	159,258	153,040	6,218	3.9	159,472	153,385	6,087	3.8	158,712	152,567	6,145	3.9	160,552	152,756	7,796	4.9	158,937	148,183	10,754	6.8	161,511	150,264	11,247	7.0	158,289	147,330	10,959	6.9	160,657	149,260	11,397	7.1	160,805	151,059	9,746	6.1	157,231	149,537	7,694	4.9	158,470	151,584	6,886	4.0	158,435	152,009	6,426	4.1	158,138	151,479	6,659	4.2	157,520	151,688	5,832	3.7	157,444	151,699	5,745	3.6	64,536	95.4
1	1865	36003	NY	Allegany County, NY	7.0	9.0	0.0	22,659	21,544	1,115	4.9	22,998	21,908	1,090	4.7	23,449	22,192	1,257	5.4	23,399	21,881	1,518	6.5	23,578	22,071	1,507	6.4	23,532	22,163	1,369	5.8	23,521	22,306	1,215	5.2	23,405	22,129	1,276	5.5	24,123	22,578	1,545	6.4	23,898	21,816	2,082	8.7	24,240	22,022	2,218	9.2	23,657	21,545	2,112	8.9	23,691	21,697	1,994	8.4	23,799	22,014	1,785	7.5	23,317	21,866	1,451	6.2	20,341	19,019	1,322	7.0	20,052	18,786	1,266	6.3	19,695	18,395	1,300	6.6	19,481	18,390	1,091	5.6	19,441	18,380	1,061	5.5	46,262	68.4
2	1866	36005	NY	Bronx County, NY	1.0	1.0	1.0	486,621	452,036	34,585	7.1	488,643	453,138	35,505	7.3	496,904	448,504	48,400	9.7	497,689	444,901	52,788	10.6	502,064	455,837	46,227	9.2	507,229	468,809	38,420	7.6	505,378	471,748	33,630	6.7	512,479	477,487	34,992	6.8	523,746	484,145	39,601	7.6	533,866	469,624	64,242	12.0	582,287	512,477	69,810	12.0	584,353	514,635	69,718	11.9	594,943	520,987	73,956	12.4	603,461	532,428	71,033	11.8	603,659	544,535	59,124	9.8	605,128	558,075	47,053	8.0	607,295	563,965	43,330	7.1	605,491	567,233	38,258	6.3	599,929	565,365	34,564	5.8	597,677	565,642	32,035	5.4	38,566	57.0
3	1867	36007	NY	Broome County, NY	2.0	2.0	1.0	97,734	94,155	3,579	3.7	98,088	93,925	4,163	4.2	98,781	93,088	5,693	5.8	96,722	91,138	5,584	5.8	96,283	91,075	5,208	5.4	96,287	91,585	4,702	4.9	96,998	92,545	4,453	4.6	96,858	92,549	4,309	4.4	98,160	92,690	5,470	5.6	97,500	89,553	7,947	8.2	97,844	89,316	8,528	8.7	94,727	86,579	8,148	8.6	94,012	85,835	8,177	8.7	91,934	84,779	7,155	7.8	87,974	82,128	5,846	6.6	86,781	81,599	5,182	6.0	85,851	81,196	4,655	5.4	84,531	79,840	4,691	5.5	84,140	80,039	4,101	4.9	83,444	79,488	3,956	4.7	50,928	75.3
4	1868	36009	NY	Cattaraugus County, NY	4.0	3.0	0.0	40,867	39,002	1,865	4.6	41,021	38,959	2,062	5.0	41,755	39,427	2,328	5.6	42,157	39,725	2,432	5.8	42,270	39,740	2,530	6.0	42,123	39,858	2,265	5.4	41,925	39,788	2,137	5.1	41,269	39,164	2,105	5.1	41,766	39,222	2,544	6.1	41,668	38,079	3,589	8.6	39,654	35,881	3,773	9.5	38,540	34,943	3,597	9.3	38,308	34,733	3,575	9.3	38,100	34,851	3,249	8.5	36,618	34,052	2,566	7.0	35,212	32,998	2,214	6.0	34,849	32,768	2,081	6.0	34,282	32,162	2,120	6.2	34,042	32,225	1,817	5.3	33,884	32,172	1,712	5.1	48,017	71.0
5	1869	36011	NY	Cayuga County, NY	4.0	5.0	0.0	40,194	38,613	1,581	3.9	39,912	38,209	1,703	4.3	41,229	39,259	1,970	4.8	41,387	39,221	2,166	5.2	41,754	39,618	2,136	5.1	41,868	39,835	2,033	4.9	41,499	39,566	1,933	4.7	41,137	39,312	1,825	4.4	41,802	39,482	2,320	5.5	41,590	38,157	3,433	8.3	39,885	36,480	3,405	8.5	39,068	35,899	3,169	8.1	39,113	35,884	3,229	8.3	38,854	35,989	2,865	7.4	37,606	35,352	2,254	6.0	37,066	35,088	1,978	5.0	36,691	34,836	1,855	5.1	35,875	34,077	1,798	5.0	35,977	34,370	1,607	4.5	35,952	34,411	1,541	4.3	52,945	78.3
6	1870	36013	NY	Chautauqua County, NY	4.0	3.0	0.0	67,733	64,986	2,747	4.1	66,936	63,824	3,112	4.6	67,431	63,701	3,730	5.5	66,735	62,909	3,826	5.7	66,930	63,277	3,653	5.5	67,149	63,929	3,220	4.8	67,135	64,126	3,009	4.5	66,781	63,790	2,991	4.5	67,323	63,591	3,732	5.5	65,934	60,467	5,467	8.3	63,922	58,262	5,660	8.9	61,661	56,616	5,045	8.2	61,278	56,055	5,223	8.5	60,218	55,387	4,831	8.0	57,764	53,827	3,937	6.8	57,593	54,124	3,469	6.0	56,113	52,857	3,256	5.8	55,433	52,119	3,314	6.0	54,779	52,019	2,760	5.0	54,550	51,976	2,574	4.7	45,689	67.5
7	1871	36015	NY	Chemung County, NY	3.0	2.0	1.0	42,544	40,695	1,849	4.3	42,367	40,274	2,093	4.9	42,269	39,575	2,694	6.4	41,187	38,550	2,637	6.4	40,515	38,084	2,431	6.0	40,595	38,438	2,157	5.3	40,851	38,879	1,972	4.8	40,956	39,080	1,876	4.6	41,459	39,147	2,312	5.6	41,016	37,364	3,652	8.9	41,594	38,105	3,489	8.4	40,803	37,606	3,197	7.8	40,553	37,142	3,411	8.4	39,609	36,479	3,130	7.9	38,162	35,772	2,390	6.3	37,466	35,269	2,197	6.0	36,202	34,131	2,071	5.7	35,667	33,705	1,962	5.5	35,353	33,718	1,635	4.6	35,019	33,543	1,476	4.2	52,565	77.7
8	1872	36017	NY	Chenango County, NY	6.0	6.0	0.0	24,373	23,390	983	4.0	24,514	23,411	1,103	4.5	24,619	23,259	1,360	5.5	24,219	22,820	1,399	5.8	24,090	22,755	1,335	5.5	24,291	23,092	1,199	4.9	24,712	23,514	1,198	4.8	24,405	23,200	1,205	4.9	24,672	23,104	1,568	6.4	24,407	22,231	2,176	8.9	23,691	21,509	2,182	9.2	23,830	21,760	2,070	8.7	24,127	22,044	2,083	8.6	24,097	22,335	1,762	7.3	23,178	21,737	1,441	6.2	23,086	21,826	1,260	6.0	22,829	21,673	1,156	5.1	22,331	21,141	1,190	5.3	22,327	21,285	1,042	4.7	22,080	21,098	982	4.4	50,312	74.4
9	1873	36019	NY	Clinton County, NY	5.0	8.0	0.0	38,375	36,568	1,807	4.7	38,768	37,042	1,726	4.5	39,657	37,549	2,108	5.3	39,878	37,484	2,394	6.0	39,890	37,477	2,413	6.0	40,018	37,915	2,103	5.3	40,064	37,932	2,132	5.3	39,784	37,556	2,228	5.6	39,988	37,370	2,618	6.5	39,787	36,084	3,703	9.3	39,701	35,809	3,892	9.8	38,413	34,729	3,684	9.6	37,998	34,424	3,574	9.4	37,176	34,085	3,091	8.3	35,975	33,595	2,380	6.6	35,918	33,828	2,090	6.0	35,795	33,877	1,918	5.4	36,139	34,239	1,900	5.3	36,267	34,677	1,590	4.4	36,302	34,720	1,582	4.4	55,517	82.1

Last rows

	df_index	FIPStxt	Stabr	area_name	Rural_urban_continuum_code_2013	Urban_influence_code_2013	Metro_2013	Civilian_labor_force_2000	Employed_2000	Unemployed_2000	Unemployment_rate_2000	Civilian_labor_force_2001	Employed_2001	Unemployed_2001	Unemployment_rate_2001	Civilian_labor_force_2002	Employed_2002	Unemployed_2002	Unemployment_rate_2002	Civilian_labor_force_2003	Employed_2003	Unemployed_2003	Unemployment_rate_2003	Civilian_labor_force_2004	Employed_2004	Unemployed_2004	Unemployment_rate_2004	Civilian_labor_force_2005	Employed_2005	Unemployed_2005	Unemployment_rate_2005	Civilian_labor_force_2006	Employed_2006	Unemployed_2006	Unemployment_rate_2006	Civilian_labor_force_2007	Employed_2007	Unemployed_2007	Unemployment_rate_2007	Civilian_labor_force_2008	Employed_2008	Unemployed_2008	Unemployment_rate_2008	Civilian_labor_force_2009	Employed_2009	Unemployed_2009	Unemployment_rate_2009	Civilian_labor_force_2010	Employed_2010	Unemployed_2010	Unemployment_rate_2010	Civilian_labor_force_2011	Employed_2011	Unemployed_2011	Unemployment_rate_2011	Civilian_labor_force_2012	Employed_2012	Unemployed_2012	Unemployment_rate_2012	Civilian_labor_force_2013	Employed_2013	Unemployed_2013	Unemployment_rate_2013	Civilian_labor_force_2014	Employed_2014	Unemployed_2014	Unemployment_rate_2014	Civilian_labor_force_2015	Employed_2015	Unemployed_2015	Unemployment_rate_2015	Civilian_labor_force_2016	Employed_2016	Unemployed_2016	Unemployment_rate_2016	Civilian_labor_force_2017	Employed_2017	Unemployed_2017	Unemployment_rate_2017	Civilian_labor_force_2018	Employed_2018	Unemployed_2018	Unemployment_rate_2018	Civilian_labor_force_2019	Employed_2019	Unemployed_2019	Unemployment_rate_2019	Median_Household_Income_2018	Med_HH_Income_Percent_of_State_Total_2018
52	1916	36105	NY	Sullivan County, NY	4.0	4.0	0.0	32,971	31,523	1,448	4.4	33,262	31,753	1,509	4.5	34,326	32,623	1,703	5.0	34,390	32,597	1,793	5.2	34,923	33,073	1,850	5.3	35,159	33,456	1,703	4.8	35,383	33,611	1,772	5.0	35,227	33,391	1,836	5.2	35,661	33,339	2,322	6.5	35,381	32,309	3,072	8.7	36,475	33,226	3,249	8.9	35,480	32,335	3,145	8.9	35,311	32,093	3,218	9.1	34,588	31,778	2,810	8.1	33,269	31,082	2,187	6.6	33,710	31,891	1,819	5.0	34,025	32,399	1,626	4.8	34,296	32,621	1,675	4.9	35,927	34,454	1,473	4.1	36,653	35,205	1,448	4.0	51,985	76.8
53	1917	36107	NY	Tioga County, NY	2.0	2.0	1.0	26,398	25,482	916	3.5	26,467	25,380	1,087	4.1	26,729	25,272	1,457	5.5	26,318	24,842	1,476	5.6	26,140	24,779	1,361	5.2	26,310	25,069	1,241	4.7	26,454	25,325	1,129	4.3	26,179	24,952	1,227	4.7	26,367	24,973	1,394	5.3	26,244	24,124	2,120	8.1	26,568	24,448	2,120	8.0	25,818	23,832	1,986	7.7	25,466	23,457	2,009	7.9	24,972	23,194	1,778	7.1	23,775	22,323	1,452	6.1	23,384	22,088	1,296	6.0	23,010	21,829	1,181	5.1	22,745	21,580	1,165	5.1	22,868	21,869	999	4.4	22,687	21,746	941	4.1	60,309	89.2
54	1918	36109	NY	Tompkins County, NY	3.0	2.0	1.0	50,538	48,872	1,666	3.3	51,243	49,518	1,725	3.4	52,573	50,444	2,129	4.0	53,288	51,200	2,088	3.9	54,010	51,837	2,173	4.0	54,600	52,653	1,947	3.6	55,378	53,506	1,872	3.4	55,351	53,485	1,866	3.4	56,222	53,896	2,326	4.1	56,661	53,344	3,317	5.9	54,767	51,397	3,370	6.2	54,190	50,910	3,280	6.1	55,074	51,699	3,375	6.1	55,924	53,012	2,912	5.2	54,746	52,342	2,404	4.4	50,423	48,207	2,216	4.0	50,351	48,257	2,094	4.2	49,912	47,752	2,160	4.3	50,016	48,205	1,811	3.6	49,361	47,567	1,794	3.6	57,383	84.8
55	1919	36111	NY	Ulster County, NY	3.0	2.0	1.0	88,059	84,900	3,159	3.6	88,191	84,850	3,341	3.8	90,790	86,817	3,973	4.4	91,397	87,246	4,151	4.5	91,379	86,945	4,434	4.9	91,816	87,828	3,988	4.3	92,551	88,744	3,807	4.1	90,485	86,555	3,930	4.3	90,715	85,770	4,945	5.5	89,944	83,014	6,930	7.7	93,606	86,310	7,296	7.8	91,289	84,123	7,166	7.8	91,045	83,508	7,537	8.3	90,350	83,899	6,451	7.1	87,975	82,958	5,017	5.7	88,339	84,097	4,242	5.0	88,138	84,242	3,896	4.4	88,041	84,047	3,994	4.5	88,268	84,817	3,451	3.9	87,692	84,387	3,305	3.8	63,073	93.2
56	1920	36113	NY	Warren County, NY	3.0	2.0	1.0	33,152	31,763	1,389	4.2	33,280	31,809	1,471	4.4	33,753	32,083	1,670	4.9	34,478	32,729	1,749	5.1	34,999	33,286	1,713	4.9	35,471	33,852	1,619	4.6	36,502	34,876	1,626	4.5	36,324	34,706	1,618	4.5	36,689	34,624	2,065	5.6	36,435	33,557	2,878	7.9	34,154	31,082	3,072	9.0	33,619	30,619	3,000	8.9	33,761	30,660	3,101	9.2	33,147	30,437	2,710	8.2	32,293	30,163	2,130	6.6	32,255	30,471	1,784	6.0	31,980	30,298	1,682	5.3	31,841	30,168	1,673	5.3	31,528	30,059	1,469	4.7	31,299	29,868	1,431	4.6	56,694	83.8
57	1921	36115	NY	Washington County, NY	3.0	2.0	1.0	29,981	28,859	1,122	3.7	30,098	28,888	1,210	4.0	30,422	29,030	1,392	4.6	30,963	29,561	1,402	4.5	31,796	30,299	1,497	4.7	32,144	30,708	1,436	4.5	32,887	31,550	1,337	4.1	32,403	31,060	1,343	4.1	32,850	31,099	1,751	5.3	32,510	30,092	2,418	7.4	30,233	27,741	2,492	8.2	29,721	27,318	2,403	8.1	29,899	27,426	2,473	8.3	29,415	27,222	2,193	7.5	28,560	26,820	1,740	6.1	28,653	27,215	1,438	5.0	28,335	27,018	1,317	4.6	28,128	26,823	1,305	4.6	27,938	26,774	1,164	4.2	27,831	26,698	1,133	4.1	55,913	82.7
58	1922	36117	NY	Wayne County, NY	1.0	1.0	1.0	48,722	46,858	1,864	3.8	48,694	46,452	2,242	4.6	49,096	46,035	3,061	6.2	48,701	45,823	2,878	5.9	48,515	45,843	2,672	5.5	48,987	46,588	2,399	4.9	48,603	46,348	2,255	4.6	47,564	45,317	2,247	4.7	48,189	45,369	2,820	5.9	47,691	43,725	3,966	8.3	47,429	43,227	4,202	8.9	46,445	42,533	3,912	8.4	46,529	42,536	3,993	8.6	45,964	42,482	3,482	7.6	44,400	41,655	2,745	6.2	44,287	41,931	2,356	5.0	43,980	41,789	2,191	5.0	43,657	41,495	2,162	5.0	43,774	41,958	1,816	4.1	43,835	42,070	1,765	4.0	61,118	90.3
59	1923	36119	NY	Westchester County, NY	1.0	1.0	1.0	461,112	445,401	15,711	3.4	463,716	446,213	17,503	3.8	471,246	450,012	21,234	4.5	472,045	450,950	21,095	4.5	477,966	456,741	21,225	4.4	482,484	463,188	19,296	4.0	487,426	469,034	18,392	3.8	489,581	471,440	18,141	3.7	495,831	472,088	23,743	4.8	487,641	453,096	34,545	7.1	478,676	443,476	35,200	7.4	473,504	440,021	33,483	7.1	477,481	442,827	34,654	7.3	477,670	447,795	29,875	6.3	470,532	446,378	24,154	5.1	478,437	456,728	21,709	5.0	477,692	457,221	20,471	4.3	480,739	459,137	21,602	4.5	482,058	463,315	18,743	3.9	484,382	466,158	18,224	3.8	94,521	139.7
60	1924	36121	NY	Wyoming County, NY	6.0	4.0	0.0	20,236	19,274	962	4.8	20,305	19,310	995	4.9	21,206	20,000	1,206	5.7	21,091	19,821	1,270	6.0	20,999	19,691	1,308	6.2	21,431	20,307	1,124	5.2	21,824	20,767	1,057	4.8	21,424	20,375	1,049	4.9	21,392	20,062	1,330	6.2	21,030	19,147	1,883	9.0	19,457	17,616	1,841	9.5	18,881	17,232	1,649	8.7	18,902	17,229	1,673	8.9	18,818	17,327	1,491	7.9	18,350	17,153	1,197	6.5	18,377	17,342	1,035	6.0	18,102	17,137	965	5.3	17,907	16,903	1,004	5.6	17,969	17,135	834	4.6	18,131	17,336	795	4.4	57,709	85.3
61	1925	36123	NY	Yates County, NY	1.0	1.0	1.0	12,055	11,605	450	3.7	12,025	11,567	458	3.8	12,584	11,975	609	4.8	12,886	12,270	616	4.8	13,057	12,464	593	4.5	12,995	12,436	559	4.3	13,056	12,509	547	4.2	13,055	12,508	547	4.2	13,242	12,594	648	4.9	13,233	12,341	892	6.7	12,230	11,327	903	7.4	12,086	11,181	905	7.5	12,090	11,147	943	7.8	11,977	11,158	819	6.8	11,690	11,028	662	5.7	11,742	11,157	585	5.0	11,713	11,196	517	4.4	11,622	11,114	508	4.4	11,784	11,339	445	3.8	11,849	11,407	442	3.7	51,089	75.5

Overview

Variables

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Most frequent character per script

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Most occurring scripts

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